class_docstr: This lemmatizer was adapted from the Polish one (version of April 2021).
  It implements lookup lemmatization based on the morphological lexicon
  morph-it (Baroni and Zanchetta). The table lemma_lookup with non-POS-aware
  entries is used as a backup for words that aren't handled by morph-it.
code: def get_lookups_config(cls, mode: str) -> Tuple[List[str], List[str]]:
      if mode == "pos_lookup":
          required = [
              "lemma_lookup_num",
              "lemma_lookup_det",
              "lemma_lookup_adp",
              "lemma_lookup_adj",
              "lemma_lookup_noun",
              "lemma_lookup_pron",
              "lemma_lookup_verb",
              "lemma_lookup_aux",
              "lemma_lookup_adv",
              "lemma_lookup_other",
              "lemma_lookup",
          ]
          return (required, [])
      else:
          return super().get_lookups_config(mode)
  
file_path: spaCy/spacy/lang/it/lemmatizer.py
imports: from typing import Dict, List, Tuple
  from ...pipeline import Lemmatizer
  from ...tokens import Token
label_desc: Use image node_id 1 for calling the ItalianLemmatizer obj's underlying member method code with example usage: obj.get_lookups_config(cls, mode) and returns: required,  list, super