                                 b[1] - sent_start_i, b[2])
                                 for b in t.brackets if b[0] == i)
              i += 1
          s_example.set_token_annotation(ids=s_ids, words=s_words, tags=s_tags,
                  heads=s_heads, deps=s_deps, entities=s_ents,
                  morphs=s_morphs, lemmas=s_lemmas, sent_starts=s_sent_starts,
                  brackets=s_brackets)
          split_examples.append(s_example)
          return split_examples
  
  
 
</s> remove             s_morphs.append(t.get_morph(i))
            s_lemmas.append(t.get_lemma(i))
 </s> add  </s> remove                         words=s_words, tags=s_tags, heads=s_heads, deps=s_deps,
                        entities=s_ents, morphs=s_morphs, lemmas=s_lemmas,
                        sent_starts=s_sent_starts, brackets=s_brackets)
 </s> add                         words=s_words, tags=s_tags, pos=s_pos, morphs=s_morphs,
                        lemmas=s_lemmas, heads=s_heads, deps=s_deps,
                        entities=s_ents, sent_starts=s_sent_starts,
                        brackets=s_brackets) </s> remove                 s_ids, s_words, s_tags, s_heads = [], [], [], []
 </s> add                 s_ids, s_words, s_tags, s_pos, s_heads = [], [], [], [], [] </s> remove                 morphs.append(token.get("morph", {}))
                lemmas.append(token.get("lemma", ""))
 </s> add 
                pos=s_pos, morphs=s_morphs, lemmas=s_lemmas, heads=s_heads,
                deps=s_deps, entities=s_ents, sent_starts=s_sent_starts,
                                 b[1] - sent_start_i, b[2])
                                 for b in t.brackets if b[0] == i)
              i += 1
          s_example.set_token_annotation(ids=s_ids, words=s_words, tags=s_tags,
                pos=s_pos, morphs=s_morphs, lemmas=s_lemmas, heads=s_heads,
                deps=s_deps, entities=s_ents, sent_starts=s_sent_starts,
                pos=s_pos, morphs=s_morphs, lemmas=s_lemmas, heads=s_heads,
                deps=s_deps, entities=s_ents, sent_starts=s_sent_starts,
                  brackets=s_brackets)
          split_examples.append(s_example)
          return split_examples
  
  
keep keep keep keep replace replace keep keep keep keep keep
 Add support for pos/morphs/lemmas in training data (#4941)

Add support for pos/morphs/lemmas throughout `GoldParse`, `Example`, and
`docs_to_json()`. 
spacy/gold.pyx