code: def _conllu_template(info: cli_utils.DatasetInfo) -> str:
      """A template for ConllUDatasetBuilder."""
  
      content = textwrap.dedent(
          f'''\
        """{info.name} dataset."""
  
        from tensorflow_datasets.core.dataset_builders.conll import conllu_dataset_builder_utils as conllu_lib
        import {info.tfds_api} as tfds
  
  
        class {info.cls_name}(tfds.dataset_builders.ConllUDatasetBuilder):
          """DatasetBuilder for {info.name} dataset."""
  
          VERSION = tfds.core.Version('1.0.0')
          RELEASE_NOTES = {{
              '1.0.0': 'Initial release.',
          }}
          # {info.todo}: Add details about the dataset's config to use to
          # BUILDER_CONFIGS. conllu_lib contains a set of ready-to-use features.
          BUILDER_CONFIGS = [
              conllu_lib.get_universal_morphology_config(
                  language='',
                  features=conllu_lib.UNIVERSAL_DEPENDENCIES_FEATURES,
                  name='')
          ]
  
          def _info(self) -> tfds.core.DatasetInfo:
            """Returns the dataset metadata."""
            # {info.todo}: Specifies the dataset infos.
            return self.create_dataset_info(
                homepage='',
            )
  
          def _split_generators(self, dl_manager: tfds.download.DownloadManager):
            """Returns SplitGenerators."""
            # {info.todo}: Downloads the data and defines the splits
            path = dl_manager.download_and_extract('https://todo-data-url')
  
            # {info.todo}: Specify the process_example_fn to be used in the
            # `_generate_examples` method to process examples.
            # The default `process_example_fn` processes a conllu-annotated
            # example using the features specified in BUILDER_CONFIGS.
            # `conllu_dataset_builder` already provides a number of ready-to-use
            # process functions.
            return {{
                'train':
                    self._generate_examples(
                        filepaths=path / 'train.txt',
                        # Remove if you want to use the default `process_example_fn`.
                        # process_example_fn=
                    )
            }}
  
          # {info.todo}: If you need a customized _generate_examples function,
          # comment out the following, otherwise remove it.
          # def _generate_examples(
          #     self,
          #     path: Union[epath.PathLike, List[epath.PathLike]],
          #   ):
          #   """Yields (key, example) examples."""
          #   pass
        '''
      )
      return content
  
imports: import textwrap
  from tensorflow_datasets.scripts.cli import cli_utils
label_desc: Use image node_id 4 for calling a global function with example usage: _conllu_template(info) and returns: content