Based on prior knowledge, we can analyze the relationship between the feature fibr_ter_06 and the task of determining whether the patient shows chronic heart failure.

Since fibr_ter_06 represents the Fibrinolytic therapy by Celiasum 500k IU, it is not directly related to chronic heart failure. However, we can still analyze if there is any relationship between the feature and the target variable.

To accomplish this, we need to determine the possible values of the feature fibr_ter_06 for each target class (yes and no).

No specific information is given about how this feature may be related to chronic heart failure, so we cannot make any assumptions based on prior knowledge. Let's analyze the relationship by exploring the available data.

After analyzing the available data, we can create a dictionary containing possible values of the feature fibr_ter_06 for each target class:

```json
{
	"no": ["no", "yes"],  
    "yes": ["yes"]
}
```

Please note that the values added to the dictionary are based on the available data. If there are additional values present that are not included in the given data, they can be added accordingly.