### Description

Airflow is widely used to launch, interact and submit jobs on AWS EMR Clusters. Existing EMR operators do not provide links to the EMR logs (Job Flow/Step logs), as a result in case of failures the users need to switch to EMR Console or go to AWS S3 console to locate the logs for EMR Jobs and Steps using the job_flow_id available in the EMR Operators and in Xcom.

It will be really convenient and help with debugging if the EMR log links are present in Operator Task logs, it will obviate the need to switch to AWS S3 or AWS EMR  consoles from Airflow and lookup the logs using job_flow_ids. It will be a nice improvement for the developer experience.

LogUri for Cluster is available in [DescribeCluster](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/emr/client/describe_cluster.html)


LogFile path for Steps in case of failure is available in [ListSteps](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/emr/client/list_steps.html) 



### Use case/motivation

Ability to go to EMR logs directly from Airflow EMR Task logs.

### Related issues

N/A

### Are you willing to submit a 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)

self,
        *,
        job_flow_id: str | None = None,
        job_flow_name: str | None = None,
        cluster_states: list[str] | None = None,
        aws_conn_id: str = "aws_default",
        steps: list[dict] | str | None = None,
        wait_for_completion: bool = False,
        waiter_delay: int | None = None,
        waiter_max_attempts: int | None = None,
        execution_role_arn: str | None = None,
        **kwargs,
    ):
        if not exactly_one(job_flow_id is None, job_flow_name is None):
            raise AirflowException("Exactly one of job_flow_id or job_flow_name must be specified.")
        super().__init__(**kwargs)
        cluster_states = cluster_states or []
        steps = steps or []
        self.aws_conn_id = aws_conn_id
        self.job_flow_id = job_flow_id
        self.job_flow_name = job_flow_name
        self.cluster_states = cluster_states
        self.steps = steps
        self.wait_for_completion = wait_for_completion
        self.waiter_delay = waiter_delay
        self.waiter_max_attempts = waiter_max_attempts
        self.execution_role_arn = execution_role_arn
    def execute(self, context: Context) -> list[str]: