class_docstr: Attributes:
      text (str, optional): token text
      lemma (str, optional): token lemma
      pos (str, optional): token pos
      ner (str, optional): token ner
      idx (int, optional): token start index (within the sentence)
class_docstr_tok: ["Attributes",":","text","(","str",",","optional",")",":","token","text","lemma","(","str",",","optional",")",":","token","lemma","pos","(","str",",","optional",")",":","token","pos","ner","(","str",",","optional",")",":","token","ner","idx","(","int",",","optional",")",":","token","start","index","(","within","the","sentence",")"]
code: def norm_pos(self):
      return normalize_pos(self.text, self.pos)
  
imports: import csv
  from enum import Enum
  from os import PathLike
  from nlp_architect.models.absa import TRAIN_LEXICONS
label_desc: Use image node_id 2 for calling the DepRelationTerm obj's underlying member method code with example usage: obj.norm_pos() and returns: normalize_pos