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 didn't end up buying my car here, but I did think the guy who worked with me was pretty cool - he was willing to budge a little on the price which means a lot to me.
Postion	Tokenization
1	I
2	didn't
3	did
4	n't
5	end
6	up
7	buying
8	my
9	car
10	here
11	,
12	but
13	I
14	did
15	think
16	the
17	guy
18	who
19	worked
20	with
21	me
22	was
23	pretty
24	cool
25	-
26	he
27	was
28	willing
29	to
30	budge
31	a
32	little
33	on
34	the
35	price
36	which
37	means
38	a
39	lot
40	to
41	me
42	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	didn't	_	None	_
3	did	AUX	4	aux
4	n't	PART	4	advmod
5	end	VERB	0	root
6	up	ADP	4	compound:prt
7	buying	VERB	4	xcomp
8	my	PRON	8	nmod:poss
9	car	NOUN	6	obj
10	here	ADV	6	advmod
11	,	PUNCT	14	punct
12	but	CCONJ	14	cc
13	I	PRON	14	nsubj
14	did	AUX	14	aux
15	think	VERB	4	conj
16	the	DET	16	det
17	guy	NOUN	23	nsubj
18	who	PRON	18	nsubj
19	worked	VERB	16	acl:relcl
20	with	ADP	20	case
21	me	PRON	18	obl
22	was	AUX	23	cop
23	pretty	ADV	23	advmod
24	cool	ADJ	14	ccomp
25	-	PUNCT	4	punct
26	he	PRON	27	nsubj
27	was	AUX	27	cop
28	willing	ADJ	14	parataxis
29	to	PART	29	mark
30	budge	VERB	27	xcomp
31	a	DET	31	det
32	little	NOUN	29	obl:npmod
33	on	ADP	34	case
34	the	DET	34	det
35	price	NOUN	29	obl
36	which	PRON	36	nsubj
37	means	VERB	27	parataxis
38	a	DET	38	det
39	lot	NOUN	36	obj
40	to	ADP	40	case
41	me	PRON	36	obl
42	.	PUNCT	4	punct