### 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)

main_class = "org.apache.spark.examples.SparkPi"
    jars = ["file:///usr/lib/spark/examples/jars/spark-examples.jar"]
    job_name = "simple"
    job = {
        "reference": {
            "project_id": GCP_PROJECT,
            "job_id": f"{job_name}_{TEST_JOB_ID}",
        },
        "placement": {"cluster_name": "cluster-1"},
        "labels": {"airflow-version": AIRFLOW_VERSION},
        "spark_job": {"jar_file_uris": jars, "main_class": main_class},
    }
    @mock.patch(DATAPROC_PATH.format("DataprocHook"))
    def test_deprecation_warning(self, mock_hook):
        with pytest.warns(DeprecationWarning) as warnings:
            DataprocSubmitSparkJobOperator(
                task_id=TASK_ID, region=GCP_LOCATION, main_class=self.main_class, dataproc_jars=self.jars
            )
        assert_warning("DataprocSubmitJobOperator", warnings)
    @mock.patch(DATAPROC_PATH.format("uuid.uuid4"))
    @mock.patch(DATAPROC_PATH.format("DataprocHook"))
    def test_execute(self, mock_hook, mock_uuid):