nlp = spacy.load('en_core_web_sm')
doc = nlp(u'in the pre-primary education')

for token in doc:
    print(token.text, token.lemma_, token.pos_, token.tag_, token.dep_,
          token.shape_, token.is_alpha, token.is_stop, token.i, token.head.i,
          token.ent_type_ if token.ent_type_ else "-", token.ent_iob_)

in in ADP IN ROOT xx True True 0 0 - O
the the DET DT det xxx True True 1 5 - O
(!) pre pre ADJ AFX amod xxx True False 2 4 - O
(!) - - PUNCT HYPH punct - False False 3 4 - O
(!) primary primary ADJ JJ amod xxxx True False 4 5 - O
education education NOUN NN pobj xxxx True False 5 0 - O