import fr_core_news_md


nlp = fr_core_news_md.load()


def repond(message):
    doc = nlp(message)

    for token in doc:
        print(token.text, token.lemma_, token.pos_, token.tag_, token.dep_,
              token.shape_, token.is_alpha, token.is_stop)

    for ent in doc.ents:
        print(ent.text, ent.start_char, ent.end_char, ent.label_)