code: def _parse_text(self, text):
          
          if isinstance(self.tokenizer, PatternTokenizer):
              parsed_text = pattern_parse(text, tokenize=True, lemmata=False)
          else:
              _tokenized = []
              _sentences = sent_tokenize(text, tokenizer=self.tokenizer)
              for s in _sentences:
                  _tokenized.append(" ".join(self.tokenizer.tokenize(s)))
              parsed_text = pattern_parse(
                  _tokenized,
                  tokenize=False,
                  lemmata=False)
          return parsed_text.split('\n')
docs: Parse text (string) and return list of parsed sentences (strings).
  
          Each sentence consists of space separated token elements and the
          token format returned by the PatternParser is WORD/TAG/PHRASE/ROLE/(LEMMA)
          (separated by a forward slash '/')
  
          :param str text: A string.