<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def label_text( self, parent, basic_config, feature, text_classification_config=None, text_entity_extraction_config=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ):
 """ Starts a labeling task for text. The type of text labeling task is configured by feature in the request. Example: Args: parent (str):
 Required. Name of the data set to request labeling task, format: projects/{project\_id}/datasets/{dataset\_id} basic_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.HumanAnnotationConfig]):
 Required. Basic human annotation config. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.datalabeling_v1beta1.types.HumanAnnotationConfig` feature (~google.cloud.datalabeling_v1beta1.types.Feature):
 Required. The type of text labeling task. text_classification_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.TextClassificationConfig]):
 Configuration for text classification task. One of text\_classification\_config and text\_entity\_extraction\_config is required. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.datalabeling_v1beta1.types.TextClassificationConfig` text_entity_extraction_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.TextEntityExtractionConfig]):
 Configuration for entity extraction task. One of text\_classification\_config and text\_entity\_extraction\_config is required. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.datalabeling_v1beta1.types.TextEntityExtractionConfig` retry (Optional[google.api_core.retry.Retry]):
 A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]):
 The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]):
 Additional metadata that is provided to the method. Returns: A :class:`~google.cloud.datalabeling_v1beta1.types._OperationFuture` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """

        # Wrap the transport method to add retry and timeout logic.
        if "label_text" not in self._inner_api_calls:
            self._inner_api_calls[
                "label_text"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.label_text,
                default_retry=self._method_configs["LabelText"].retry,
                default_timeout=self._method_configs["LabelText"].timeout,
                client_info=self._client_info,
            )

        # Sanity check: We have some fields which are mutually exclusive;
        # raise ValueError if more than one is sent.
        google.api_core.protobuf_helpers.check_oneof(
            text_classification_config=text_classification_config,
            text_entity_extraction_config=text_entity_extraction_config,
        )

        request = data_labeling_service_pb2.LabelTextRequest(
            parent=parent,
            basic_config=basic_config,
            feature=feature,
            text_classification_config=text_classification_config,
            text_entity_extraction_config=text_entity_extraction_config,
        )
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("parent", parent)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        operation = self._inner_api_calls["label_text"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )
        return google.api_core.operation.from_gapic(
            operation,
            self.transport._operations_client,
            dataset_pb2.AnnotatedDataset,
            metadata_type=proto_operations_pb2.LabelOperationMetadata,
        )