class_docstr: This model allows pushing and popping with no extra data
  
  This class is primarily used for testing various operations which
  don't need the NN's weights
  
  Also, for rebuilding trees from transitions when verifying the
  transitions in situations where the NN state is not relevant,
  as this class will be faster than using the NN
class_docstr_tok: ["This","model","allows","pushing","and","popping","with","no","extra","data","This","class","is","primarily","used","for","testing","various","operations","which","do","n't","need","the","NN","'s","weights","Also",",","for","rebuilding","trees","from","transitions","when","verifying","the","transitions","in","situations","where","the","NN","state","is","not","relevant",",","as","this","class","will","be","faster","than","using","the","NN"]
code: def transform_word_to_constituent(self, state):
      return state.get_word(state.word_position)
  
imports: from abc import ABC, abstractmethod
  from collections import defaultdict
  import logging
  import torch
  from stanza.models.common import utils
  from stanza.models.constituency import parse_transitions
  from stanza.models.constituency import transition_sequence
  from stanza.models.constituency.parse_transitions import State, TransitionScheme, CloseConstituent
  from stanza.models.constituency.parse_tree import Tree
  from stanza.models.constituency.tree_stack import TreeStack
  from stanza.server.parser_eval import ParseResult, ScoredTree
label_desc: Use image node_id 6 for calling the SimpleModel obj's underlying member method code with example usage: obj.transform_word_to_constituent(state) and returns: state