from nltk.parse.stanford import StanfordDependencyParser
sdp = StanfordDependencyParser(path_to_jar='E:/stanford/stanford-parser-full-2015-04-20/stanford-parser.jar',
                               path_to_models_jar='E:/stanford/stanford-parser-full-2015-04-20/stanford-parser-3.5.2-models.jar')

result = list(sdp.raw_parse(sentence))

# print the dependency tree
dep_tree = [parse.tree() for parse in result][0]
print(dep_tree)

# visualize raw dependency tree
from IPython.display import display
display(dep_tree)

# visualize annotated dependency tree (needs graphviz)
from graphviz import Source
dep_tree_dot_repr = [parse for parse in result][0].to_dot()
source = Source(dep_tree_dot_repr, filename="dep_tree", format="png")
source