### Body

There are some use cases where users want to trigger new DAG run as soon as one finished. This is a request I've seen several times with some variations (for example like this [Stackoverflow question](https://stackoverflow.com/q/75623153/14624409)) but the basic request is the same.

The workaround users do to get such functionality is place `TriggerDagRunOperator` as last task of their DAG invoking the same DAG:

```
from datetime import datetime

from airflow import DAG
from airflow.operators.empty import EmptyOperator
from airflow.operators.trigger_dagrun import TriggerDagRunOperator

with DAG(
    dag_id="example",
    start_date=datetime(2023, 1, 1,),
    catchup=False,
    schedule=None,
) as dag:
    task = EmptyOperator(task_id="first")
    trigger = TriggerDagRunOperator(
        task_id="trigger",
        trigger_dag_id="example",
    )

    task >> trigger

```

As you can see this works nicely:
![Screenshot 2023-03-03 at 14 20 51](https://user-images.githubusercontent.com/45845474/222718862-dfde8a41-24b6-4991-b318-b7f9784514f6.png)

My suggestion is to add first class support for this use case, so the above example will be changed to:

```

from datetime import datetime

from airflow import DAG
from airflow.operators.empty import EmptyOperator
from airflow.operators.trigger_dagrun import TriggerDagRunOperator

with DAG(
    dag_id="example",
    start_date=datetime(2023, 1, 1,),
    catchup=False,
    schedule="@continues",
) as dag:
    task = EmptyOperator(task_id="first")
```

I guess it won't exactly be `"@continues"` but more likely new [ScheduleArg](https://github.com/apache/airflow/blob/8b8552f5c4111fe0732067d7af06aa5285498a79/airflow/models/dag.py#L127) type but I show it like that just for simplification of the idea.

### Committer

- [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project.
"""
            Add a formatted logger to the taskinstance so all logs are surfaced to the command line instead
            of into a task file. Since this is a local test run, it is much better for the user to see logs
            in the command line, rather than needing to search for a log file.
            Args:
                ti: The taskinstance that will receive a logger
            """
            format = logging.Formatter("[%(asctime)s] {%(filename)s:%(lineno)d} %(levelname)s - %(message)s")
            handler = logging.StreamHandler(sys.stdout)
            handler.level = logging.INFO
            handler.setFormatter(format)
            
            if not any(isinstance(h, logging.StreamHandler) for h in ti.log.handlers):
                self.log.debug("Adding Streamhandler to taskinstance %s", ti.task_id)
                ti.log.addHandler(handler)
        if conn_file_path or variable_file_path:
            local_secrets = LocalFilesystemBackend(
                variables_file_path=variable_file_path, connections_file_path=conn_file_path
            )
            secrets_backend_list.insert(0, local_secrets)
        execution_date = execution_date or timezone.utcnow()
        self.log.debug("Clearing existing task instances for execution date %s", execution_date)
        self.clear(