code: def test_load_universal_dependencies_conllu_corpus(tasks_base_path):
      # This test only covers basic universal dependencies datasets.
      # For example, multi-word tokens or the "deps" column sentence annotations are not supported yet.
  
      # Here, we use the default token annotation fields.
      corpus = ColumnCorpus(
          tasks_base_path / "conllu",
          train_file="universal_dependencies.conllu",
          dev_file="universal_dependencies.conllu",
          test_file="universal_dependencies.conllu",
          column_format={
              1: "text",
              2: "lemma",
              3: "upos",
              4: "pos",
              5: "feats",
              6: "head",
              7: "deprel",
              8: "deps",
              9: "misc",
          },
      )
  
      assert len(corpus.train) == 1
      assert len(corpus.dev) == 1
      assert len(corpus.test) == 1
  
      _assert_universal_dependencies_conllu_dataset(corpus.train)
  
imports: import copy
  import shutil
  import pytest
  import flair
  import flair.datasets
  from flair.data import MultiCorpus, Sentence
  from flair.datasets import ColumnCorpus
  from flair.datasets.sequence_labeling import ONTONOTES, JsonlCorpus, JsonlDataset, MultiFileJsonlCorpus
label_desc: Use image node_id 23 for calling a global function with example usage: test_load_universal_dependencies_conllu_corpus(tasks_base_path) without return types