**Description**
The `airflow.models.baseoperator.chain()` is a very useful and convenient way to add sequential task dependencies in DAGs.  This function has [recently been updated](https://github.com/apache/airflow/issues/16635) to support `BaseOperator` and `XComArgs` but should also be able to support `Labels` as well.

**Use case / motivation**
Users who create tasks via the `@task` decorator will not be able to use the `chain()` function to apply sequential dependencies that do not share an `XComArg` implicit dependency with a `Label`.  This use case can occur when attempting to chain multiple branch labels and the next sequential task.

With the new update (yet to be released), users will receive the following exception when attempting to chain an `XComArg` and `Label`:

```bash
TypeError: Chain not supported between instances of <class 'airflow.utils.edgemodifier.EdgeModifier'> and <class 'airflow.models.xcom_arg.XComArg'>
```


**Are you willing to submit a PR?**
Absolutely. 🚀 

**Related Issues**
None

airflow/models/baseoperator.py
from airflow.models.dagparam import DagParam
        from airflow.models.xcom_arg import XComArg
        if isinstance(content, str):
            if any(content.endswith(ext) for ext in self.template_ext):
                
                return jinja_env.get_template(content).render(**context)
            else:
                return jinja_env.from_string(content).render(**context)
        elif isinstance(content, (XComArg, DagParam)):
            return content.resolve(context)
        if isinstance(content, tuple):
            if type(content) is not tuple:
                
                return content.__class__(
                    *(self.render_template(element, context, jinja_env) for element in content)
                )
            else:
                return tuple(self.render_template(element, context, jinja_env) for element in content)
        elif isinstance(content, list):
            return [self.render_template(element, context, jinja_env) for element in content]
        elif isinstance(content, dict):
            return {key: self.render_template(value, context, jinja_env) for key, value in content.items()}
        elif isinstance(content, set):
            return {self.render_template(element, context, jinja_env) for element in content}
        else:
            if seen_oids is None:
                seen_oids = set()
            self._render_nested_template_fields(content, context, jinja_env, seen_oids)
            return content
    def _render_nested_template_fields(