Based on prior knowledge, we can analyze the relationship between the feature "K_SH_POST" (Cardiogenic shock at the time of admission to intensive care unit) and the task of determining if the patient shows chronic heart failure.

To analyze this relationship, we can examine the occurrence of chronic heart failure in patients with different values of "K_SH_POST". 

Let's create a dictionary to summarize the possible values of "K_SH_POST" for each target class:

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

Since the feature "K_SH_POST" is a categorical variable with categories 'no' and 'yes', we can conclude that if the patient has the value 'yes' for this feature, it indicates the presence of cardiogenic shock at the time of admission to the intensive care unit. Thus, the patient is likely to show chronic heart failure (target class "yes"). Conversely, if the patient has the value 'no' for this feature, it indicates the absence of cardiogenic shock and hence a lower probability of chronic heart failure (target class "no").

Note: Since we do not have information about any other possible values for "K_SH_POST", we cannot include them in the dictionary. However, we can conclude that "no" and "yes" are the possible values for this feature in relation to the occurrence of chronic heart failure.