Based on the given task and feature, we are trying to determine if there is a relationship between the fibrinolytic therapy by Celiasum 500k IU (fibr_ter_06) and the presence of chronic heart failure in a patient.

To analyze the relationship between the feature and task, we can examine the distribution of values for the feature in patients with and without chronic heart failure. 

Here's the dictionary with the distribution of feature values for each target class:

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

From the given feature description, it seems that the possible values for fibr_ter_06 are "no" and "yes". 

For patients without chronic heart failure (target class "no"), the only possible value for fibr_ter_06 is "no".

For patients with chronic heart failure (target class "yes"), both "no" and "yes" are possible values for fibr_ter_06.

Please note that it is important to analyze the dataset with additional features and statistical methods to draw a more accurate conclusion about the relationship between fibr_ter_06 and chronic heart failure.