code: def tag_analysis(self):
          
          if not self.is_tagged(WORDS):
              self.tokenize_words()
          sentences = self.divide(WORDS, SENTENCES)
          for sentence in sentences:
              texts = [word[TEXT] for word in sentence]
              all_analysis = vabamorf.analyze(texts, **self.__kwargs)
              for word, analysis in zip(sentence, all_analysis):
                  word[ANALYSIS] = analysis[ANALYSIS]
                  word[TEXT] = analysis[TEXT]
          return self
docs: Tag ``words`` layer with morphological analysis attributes.