### Apache Airflow version

main (development)

### What happened

The provider operator for Google Cloud Dataproc Batches has two bugs: 

1. The running [operator](https://github.com/apache/airflow/blob/main/airflow/providers/google/cloud/operators/dataproc.py#L2123-L2124) returns successful even if the job transitions to State.CANCELLED or State.CANCELLING 
2. It [attempts](https://github.com/apache/airflow/blob/main/airflow/providers/google/cloud/operators/dataproc.py#L2154) to 'reattach' to a potentially running job if it AlreadyExists, but it sends the wrong type since 'result' is a Batch and needs Operation

### What you think should happen instead

A new hook that polls for batch job completion.  There is precedent for it in traditional dataproc with 'wait_for_job'.

### How to reproduce

Use the Breeze environment and a DAG that runs DataprocCreateBatchOperator.  Allow the first instance to start. 

Use the gcloud CLI to cancel the job. 

`gcloud dataproc batches cancel <batch_id> --project <project_id> --region <region>`

Observe that the task completes successfully after a 3-5 minute timeout, even though the job was cancelled. 

Run the task again with the same batch_id.  Observe the ValueError where it expects Operation but receives Batch



### Operating System

Darwin 5806 21.6.0 Darwin Kernel Version 21.6.0: Mon Aug 22 20:17:10 PDT 2022; root:xnu-8020.140.49~2/RELEASE_X86_64 x86_64

### Versions of Apache Airflow Providers

Same as dev (main) version. 

### Deployment

Other Docker-based deployment

### Deployment details

Observable in the Breeze environment, when running against real Google Infrastructure. 

### Anything else

Every time. 

### 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)

"software_config": {},
            "lifecycle_config": {},
            "encryption_config": {},
            "autoscaling_config": {},
            "endpoint_config": {},
        }
        if self.num_preemptible_workers > 0:
            cluster_data["secondary_worker_config"] = {
                "num_instances": self.num_preemptible_workers,
                "machine_type_uri": worker_type_uri,
                "disk_config": {
                    "boot_disk_type": self.worker_disk_type,
                    "boot_disk_size_gb": self.worker_disk_size,
                },
                "is_preemptible": True,
            }
        if self.storage_bucket:
            cluster_data["config_bucket"] = self.storage_bucket
        if self.image_version:
            cluster_data["software_config"]["image_version"] = self.image_version
        elif self.custom_image:
            project_id = self.custom_image_project_id or self.project_id
            custom_image_url = (
                f"https://www.googleapis.com/compute/beta/projects/{project_id}"
                f"/global/images/{self.custom_image}"
            )
            cluster_data["master_config"]["image_uri"] = custom_image_url
            if not self.single_node:
                cluster_data["worker_config"]["image_uri"] = custom_image_url
        elif self.custom_image_family: