### Apache Airflow version

main (development)

### What happened

For DataprocInstantiateInlineWorkflowTemplateOperator and DataprocInstantiateWorkflowTemplateOperator, the dataproc link is available only for the jobs that have succeeded. Incase of Failure, the DataprocLink is not available

### What you think should happen instead

Like other dataproc operators, this should be available for workflow operators as well

### How to reproduce

_No response_

### Operating System

MacOS Monterey

### Versions of Apache Airflow Providers

apache-airflow-providers-google==6.5.0

### Deployment

Astronomer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

retry=RETRY,
            timeout=TIMEOUT,
            metadata=METADATA,
            impersonation_chain=IMPERSONATION_CHAIN,
        )
        op.execute(context=self.mock_context)
        mock_hook.assert_called_once_with(gcp_conn_id=GCP_CONN_ID, impersonation_chain=IMPERSONATION_CHAIN)
        mock_hook.return_value.create_cluster.assert_called_once_with(**create_cluster_args)
        
        self.extra_links_manager_mock.assert_has_calls(expected_calls, any_order=False)
        to_dict_mock.assert_called_once_with(mock_hook().create_cluster().result())
        self.mock_ti.xcom_push.assert_called_once_with(
            key="conf",
            value=DATAPROC_CLUSTER_CONF_EXPECTED,
            execution_date=None,
        )
    @mock.patch(DATAPROC_PATH.format("Cluster.to_dict"))
    @mock.patch(DATAPROC_PATH.format("DataprocHook"))
    def test_execute_if_cluster_exists(self, mock_hook, to_dict_mock):
        mock_hook.return_value.create_cluster.side_effect = [AlreadyExists("test")]
        mock_hook.return_value.get_cluster.return_value.status.state = 0
        op = DataprocCreateClusterOperator(
            task_id=TASK_ID,
            region=GCP_LOCATION,
            project_id=GCP_PROJECT,
            cluster_config=CONFIG,
            labels=LABELS,
            cluster_name=CLUSTER_NAME,
            gcp_conn_id=GCP_CONN_ID,
            retry=RETRY,