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:
However, when he printed out the service quote, I could see that it was NOT the correct tire, and was not even an appropriate tire for my car model.
Postion	Tokenization
1	However
2	,
3	when
4	he
5	printed
6	out
7	the
8	service
9	quote
10	,
11	I
12	could
13	see
14	that
15	it
16	was
17	NOT
18	the
19	correct
20	tire
21	,
22	and
23	was
24	not
25	even
26	an
27	appropriate
28	tire
29	for
30	my
31	car
32	model
33	.
Position	Tokenization	UPOS	Head	Deprel
1	However	ADV	13	advmod
2	,	PUNCT	13	punct
3	when	SCONJ	5	mark
4	he	PRON	5	nsubj
5	printed	VERB	13	advcl
6	out	ADP	5	compound:prt
7	the	DET	9	det
8	service	NOUN	9	compound
9	quote	NOUN	5	obj
10	,	PUNCT	13	punct
11	I	PRON	13	nsubj
12	could	AUX	13	aux
13	see	VERB	0	root
14	that	SCONJ	20	mark
15	it	PRON	20	nsubj
16	was	AUX	20	cop
17	NOT	PART	20	advmod
18	the	DET	20	det
19	correct	ADJ	20	amod
20	tire	NOUN	13	ccomp
21	,	PUNCT	28	punct
22	and	CCONJ	28	cc
23	was	AUX	28	cop
24	not	PART	28	advmod
25	even	ADV	28	advmod
26	an	DET	28	det
27	appropriate	ADJ	28	amod
28	tire	NOUN	20	conj
29	for	ADP	32	case
30	my	PRON	32	nmod:poss
31	car	NOUN	32	compound
32	model	NOUN	28	nmod
33	.	PUNCT	13	punct