### Description

Add feature to EmrStepSensor to bring back the spark task url & logs after task execution

### Use case/motivation

After starting an EMR step task using EmrAddStepsOperator we generally have an EmrStepSensor to track the status of the step. The job ID is available for the sensor and is being poked at regular interval. 

```
[2022-04-26, 22:07:43 UTC] {base_aws.py:100} INFO - Retrieving region_name from Connection.extra_config['region_name']
[2022-04-26, 22:07:44 UTC] {emr.py:316} INFO - Poking step s-123ABC123ABC on cluster j-123ABC123ABC
[2022-04-26, 22:07:44 UTC] {emr.py:74} INFO - Job flow currently PENDING
[2022-04-26, 22:08:44 UTC] {emr.py:316} INFO - Poking step s-123ABC123ABC on cluster j-123ABC123ABC
[2022-04-26, 22:08:44 UTC] {emr.py:74} INFO - Job flow currently PENDING
[2022-04-26, 22:09:44 UTC] {emr.py:316} INFO - Poking step s-123ABC123ABC on cluster j-123ABC123ABC
[2022-04-26, 22:09:44 UTC] {emr.py:74} INFO - Job flow currently COMPLETED
[2022-04-26, 22:09:44 UTC] {base.py:251} INFO - Success criteria met. Exiting.
[2022-04-26, 22:09:44 UTC] {taskinstance.py:1288} INFO - Marking task as SUCCESS. dag_id=datapipeline_sample, task_id=calculate_pi_watch_step, execution_date=20220426T220739, start_date=20220426T220743, end_date=20220426T220944
```

After the task is completed the status is displayed. If the user wants to review the logs of the task, it is a multistep process to get hold of the job logs from EMR cluster. 

It will be a great addition to add the log url and possibly relay the logs to Airflow EmrStepSensor post completion of the task. This will be very handy when there are failures of many tasks and will make it a great user experience. 


### Related issues

_No response_

### Are you willing to submit a PR?

- [ ] 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)

self,
        client_method: str,
        params: dict | None = None,
        expires_in: int = 3600,
        http_method: str | None = None,
    ) -> str | None:
        """
        Generate a presigned url given a client, its method, and arguments
        :param client_method: The client method to presign for.
        :param params: The parameters normally passed to ClientMethod.
        :param expires_in: The number of seconds the presigned url is valid for.
            By default it expires in an hour (3600 seconds).
        :param http_method: The http method to use on the generated url.
            By default, the http method is whatever is used in the method's model.
        :return: The presigned url.
        """
        s3_client = self.get_conn()
        try:
            return s3_client.generate_presigned_url(
                ClientMethod=client_method, Params=params, ExpiresIn=expires_in, HttpMethod=http_method
            )
        except ClientError as e:
            self.log.error(e.response["Error"]["Message"])
            return None
    @provide_bucket_name
    def get_bucket_tagging(self, bucket_name: str | None = None) -> list[dict[str, str]] | None: