In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: Near Café Rouge is Midsummer House. It is a 5 star English food restaurant.
Example Output: name[Midsummer House], food[English], customer rating[5 out of 5], near[Café Rouge]

Example Input: Zizzi is a kids-friendly, Japanese pub, rated 1 out of 5.
Example Output: name[Zizzi], eatType[pub], food[Japanese], customer rating[1 out of 5], familyFriendly[yes]

Example Input: The Twenty Two is close to The Rice Boat with low rating but moderate prices
Example Output:
name[The Twenty Two], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[The Rice Boat]