### Apache Airflow version

2.7.1

### What happened

Airflow's postgres connection configuration form has a field called  'schema'  which is misguiding as values mentioned here is used to refer to the database name instead of the schema name. It should be correctly named to 'database' or 'dbname'

### What you think should happen instead

_No response_

### How to reproduce

create a connection on the web UI and choose connection type as postgres.
Have a dag connect to an postgres server with multiple databases
provide the database name in the 'schema' field of the connection form- this would work if nothing else is incorrect in the etl
now change the value in the schema field of the connection form to refer to a schema- this will fail unexpectedly as the schema name field actually points to the database name.

### Operating System

Windows and Linux

### Versions of Apache Airflow Providers

2.71

### Deployment

Docker-Compose

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit 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)

cls, table: str, values: tuple[str, ...], target_fields: Iterable[str], replace: bool, **kwargs
    ) -> str:
        """Generate the INSERT SQL statement.
        The REPLACE variant is specific to the PostgreSQL syntax.
        :param table: Name of the target table
        :param values: The row to insert into the table
        :param target_fields: The names of the columns to fill in the table
        :param replace: Whether to replace instead of insert
        :param replace_index: the column or list of column names to act as
            index for the ON CONFLICT clause
        :return: The generated INSERT or REPLACE SQL statement
        """
        placeholders = [
            cls.placeholder,
        ] * len(values)
        replace_index = kwargs.get("replace_index")
        if target_fields:
            target_fields_fragment = ", ".join(target_fields)
            target_fields_fragment = f"({target_fields_fragment})"
        else:
            target_fields_fragment = ""