As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
I was very happy with the customer service and even more please with the portion size, to go box set up and quality of the food for the price.
Postion	Tokenization
1	I
2	was
3	very
4	happy
5	with
6	the
7	customer
8	service
9	and
10	even
11	more
12	please
13	with
14	the
15	portion
16	size
17	,
18	to
19	go
20	box
21	set
22	up
23	and
24	quality
25	of
26	the
27	food
28	for
29	the
30	price
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	was	AUX	4	cop
3	very	ADV	4	advmod
4	happy	ADJ	0	root
5	with	ADP	8	case
6	the	DET	8	det
7	customer	NOUN	8	compound
8	service	NOUN	4	obl
9	and	CCONJ	12	cc
10	even	ADV	11	advmod
11	more	ADV	12	advmod
12	please	ADJ	4	conj
13	with	ADP	16	case
14	the	DET	16	det
15	portion	NOUN	16	compound
16	size	NOUN	12	obl
17	,	PUNCT	22	punct
18	to	PART	19	mark
19	go	VERB	20	compound
20	box	NOUN	22	compound
21	set	NOUN	22	compound
22	up	NOUN	16	conj
23	and	CCONJ	24	cc
24	quality	NOUN	16	conj
25	of	ADP	27	case
26	the	DET	27	det
27	food	NOUN	24	nmod
28	for	ADP	30	case
29	the	DET	30	det
30	price	NOUN	24	nmod
31	.	PUNCT	4	punct