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 extremely interested in the car and very likely would have bought it, but the sales guy I dealt with ruined the deal.
Postion	Tokenization
1	I
2	was
3	extremely
4	interested
5	in
6	the
7	car
8	and
9	very
10	likely
11	would
12	have
13	bought
14	it
15	,
16	but
17	the
18	sales
19	guy
20	I
21	dealt
22	with
23	ruined
24	the
25	deal
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	was	AUX	4	cop
3	extremely	ADV	4	advmod
4	interested	ADJ	0	root
5	in	ADP	7	case
6	the	DET	7	det
7	car	NOUN	4	obl
8	and	CCONJ	13	cc
9	very	ADV	10	advmod
10	likely	ADV	13	advmod
11	would	AUX	13	aux
12	have	AUX	13	aux
13	bought	VERB	4	conj
14	it	PRON	13	obj
15	,	PUNCT	23	punct
16	but	CCONJ	23	cc
17	the	DET	19	det
18	sales	NOUN	19	compound
19	guy	NOUN	23	nsubj
20	I	PRON	21	nsubj
21	dealt	VERB	19	acl:relcl
22	with	ADP	21	obl
23	ruined	VERB	4	conj
24	the	DET	25	det
25	deal	NOUN	23	obj
26	.	PUNCT	4	punct