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 mean, I don't care if he doesn't know, but if he pretends to know and tells me BS to my face, there's no way I'm going to trust him when matters turn to the price of the car and financing.
Postion	Tokenization
1	I
2	mean
3	,
4	I
5	don't
6	do
7	n't
8	care
9	if
10	he
11	doesn't
12	does
13	n't
14	know
15	,
16	but
17	if
18	he
19	pretends
20	to
21	know
22	and
23	tells
24	me
25	BS
26	to
27	my
28	face
29	,
30	there's
31	there
32	's
33	no
34	way
35	I'm
36	I
37	'm
38	going
39	to
40	trust
41	him
42	when
43	matters
44	turn
45	to
46	the
47	price
48	of
49	the
50	car
51	and
52	financing
53	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	mean	VERB	7	discourse
3	,	PUNCT	7	punct
4	I	PRON	7	nsubj
5	don't	_	None	_
6	do	AUX	7	aux
7	n't	PART	7	advmod
8	care	VERB	0	root
9	if	SCONJ	12	mark
10	he	PRON	12	nsubj
11	doesn't	_	None	_
12	does	AUX	12	aux
13	n't	PART	12	advmod
14	know	VERB	7	advcl
15	,	PUNCT	29	punct
16	but	CCONJ	29	cc
17	if	SCONJ	17	mark
18	he	PRON	17	nsubj
19	pretends	VERB	29	advcl
20	to	PART	19	mark
21	know	VERB	17	xcomp
22	and	CCONJ	21	cc
23	tells	VERB	17	conj
24	me	PRON	21	iobj
25	BS	NOUN	21	obj
26	to	ADP	26	case
27	my	PRON	26	nmod:poss
28	face	NOUN	21	obl
29	,	PUNCT	29	punct
30	there's	_	None	_
31	there	PRON	29	expl
32	's	VERB	7	conj
33	no	DET	31	det
34	way	NOUN	29	nsubj
35	I'm	_	None	_
36	I	PRON	34	nsubj
37	'm	AUX	34	aux
38	going	VERB	31	acl:relcl
39	to	PART	36	mark
40	trust	VERB	34	xcomp
41	him	PRON	36	obj
42	when	SCONJ	40	mark
43	matters	NOUN	40	nsubj
44	turn	VERB	36	advcl
45	to	ADP	43	case
46	the	DET	43	det
47	price	NOUN	40	obl
48	of	ADP	46	case
49	the	DET	46	det
50	car	NOUN	43	nmod
51	and	CCONJ	48	cc
52	financing	NOUN	46	conj
53	.	PUNCT	7	punct