Based on the given feature "fibr_ter_02" which represents Fibrinolytic therapy by Celiasum 1m IU, we need to analyze its relationship with the target variable, chronic heart failure.

To conduct the analysis, we can examine the values of the feature for each class of the target variable.

Here is the analysis of the relationship between the feature "fibr_ter_02" and the task of identifying chronic heart failure:

- For the target class "no" (indicating no chronic heart failure), the possible values of the feature "fibr_ter_02" are:
   - ['no']

- For the target class "yes" (indicating chronic heart failure), the possible values of the feature "fibr_ter_02" are:
   - ['no', 'yes']

We can see that the feature "fibr_ter_02" has a value of 'no' for both target classes. However, in the case of chronic heart failure (target class "yes"), there is a possibility of having a value of 'yes' as well.

Based on this analysis, the dictionary representation of the relationship between the feature and the task would be:

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

Please note that as per the instructions, the "hard to predict" values are not included in the dictionary.