code: def pos_tag_sents(
      sentences: List[List[str]], engine: str = "perceptron", corpus: str = "orchid"
  ) -> List[List[Tuple[str, str]]]:
      
      if not sentences:
          return []
  
      return [pos_tag(sent, engine=engine, corpus=corpus) for sent in sentences]
docs: Part of Speech tagging Sentence function.
  
      :param list sentences: a list of lists of tokenized words
      :param str engine:
          * unigram - unigram tagger
          * perceptron - perceptron tagger (default)
          * artagger - RDR POS tagger
      :param str corpus:
          * orchid - annotated Thai academic articles (default)
          * orchid_ud - annotated Thai academic articles using Universal Dependencies Tags
          * pud - Parallel Universal Dependencies (PUD) treebanks
      :return: returns a list of labels regarding which part of speech it is