class_docstr: This class provides a wrapper of SpaCy of tokenizer, pos tagger and named entity recognizer
class_docstr_tok: ["This","class","provides","a","wrapper","of","SpaCy","of","tokenizer",",","pos","tagger","and","named","entity","recognizer"]
code: def pos_tag(self, text):
      parsedData = self._nlp(text)
      return [
          (token.orth_, token.pos_)
          for _, token in enumerate(parsedData)
      ]
  
imports: from sematch.utility import FileIO
  from nltk.stem import WordNetLemmatizer
  from nltk.corpus import wordnet
  import nltk
  from collections import Counter
  import itertools
  import string
  import re
label_desc: Use image node_id 4 for calling the SpaCyNLP obj's underlying member method code with example usage: obj.pos_tag(text) and returns: unknown