def parse_base_url():
    # Use requests.get to get the informtaion from the web page and store in the variable page
    page = requests.get(base_url)
    # if the status_code is 200 then the request was made successfully
    if page.status_code == 200:
    # BeautifulSoup gets the text from the page and lxml parses the information.
        bs = BeautifulSoup(page.text, 'lxml')

    # Get previous 10 players of the year using the class 'multicol', and the links from the unordered list.
        last_ten_players = bs.find('table', class_='multicol').find('ul').find_all('li')[:-11:-1][::-1]

    # Create the names of the data columns for pandas and assign each column an empty list.
        data = {
            'Year': [],
            'Country': [],
            'Player': [],
            'Team': [],
            }
      # for loop to iterate over and parse the data we want from the 10 players
        for parser in last_ten_players:

            year = parser.find('span').previousSibling.split()[0]
          # If there is a year append the year to the 'Year' list.
            if year:
                data['Year'].append(year)
          # else add the word 'none' to the 'Year' column
            else:
                data['Year'].append('none')
          # find all the anchor tags <a> and return the 1st <a> tag at index 0
            country = parser.findAll('a')[0]['title']
          # If there is a country append the country to the 'Country' list.
            if country:
                data['Country'].append(country)
          # else add the word 'none' to the 'Country' column
            else:
                data['Country'].append('none')
          # find all the anchor tags <a> and return the 2nd <a> tag at index 1
            player = parser.findAll('a')[1]
          # If there is a player append the player to the 'Player' list.
            if player:
                data['Player'].append(player.text)
          # else add the word 'none' to the 'Player' column
            else:
                data['Player'].append('none')
          # find all the anchor tags <a> and return the 3rd <a> tag at index 2
            team = parser.findAll('a')[2]
          # If there is a year team append the team to the 'Team' list.
            if team:
                data['Team'].append(team.text)
          # else add the word 'none' to the 'Team' column
            else:
                data['Team'].append('none')

        # Store data to dataframe using pandas with the following names for the columns.
        df = pd.DataFrame(data, columns=['Year','Country','Player', 'Team'])
        # Start the index at 1 instead of 0
        df.index = df.index + 1
        # print dataframe
        print(df)
        # store and save the data in the dataframe to a csv file
        df.to_csv('players_of_the_year.csv', sep=',', index=False, encoding='utf-8')

parse_base_url()