Based on prior knowledge, we can analyze the relationship between the feature 'fibr_ter_08' and the task of determining if the patient shows chronic heart failure.

To analyze this relationship, we can look at the distribution of 'fibr_ter_08' values for each target class. Specifically, we will analyze the values of 'fibr_ter_08' for patients with and without chronic heart failure.

Let's create the dictionary:

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

Since 'fibr_ter_08' is a categorical variable with two categories ('no' and 'yes'), we can conclude that for both target classes ('no' and 'yes'), the possible value of the feature 'fibr_ter_08' is either 'no' or 'yes'.