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: The Rice Boat is not family-friendly. They have a customer rating 5 out of 5. They serve Japanese food. They are located in the riverside area near Express by Holiday Inn. There price range is cheap.
Example Output: name[The Rice Boat], food[Japanese], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]

Example Input: Zizzi is a coffee Shop have 3 out of 5 costumer rating, and £20-26 price range. It is located in city center.
Example Output: name[Zizzi], eatType[coffee shop], priceRange[£20-25], customer rating[3 out of 5], area[city centre], familyFriendly[no]

Example Input: in the city centre near Yippee Noodle Bar there is a fast food place called Alimentum with a average customer rating that is cheap
Example Output:
name[Alimentum], food[Fast food], priceRange[cheap], customer rating[average], area[city centre], near[Yippee Noodle Bar]