Based on my prior knowledge, the feature "K_SH_POST", which represents whether the patient had cardiogenic shock at the time of admission to the intensive care unit, can be related to the presence of chronic heart failure in the patient.

To analyze the relationship between the feature and the task, we can consider the following:

1. Patients who had cardiogenic shock at the time of admission (K_SH_POST = yes) may have a higher likelihood of developing chronic heart failure.
2. Patients who did not have cardiogenic shock at the time of admission (K_SH_POST = no) may have a lower likelihood of developing chronic heart failure.

Based on this analysis, we can create a dictionary to provide the possible values of the feature "K_SH_POST" for each target class:

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

This dictionary indicates that for the target class "no", the only possible value of the feature "K_SH_POST" is "no". Similarly, for the target class "yes", the only possible value of the feature "K_SH_POST" is "yes".

Note: If there are other possible values of feature "K_SH_POST" that are hard to predict whether they indicate chronic heart failure or not, they can be omitted from the dictionary as per the requirement specified.