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:
They tracked down the only tire that fit my BMW330i in Murfreesboro within minutes and secured it, then they came out, took off my tire (it was a runflat - but runflats don't do you any good if they blow out), and brought it to their shop to change the tire.
Postion	Tokenization
1	They
2	tracked
3	down
4	the
5	only
6	tire
7	that
8	fit
9	my
10	BMW
11	330i
12	in
13	Murfreesboro
14	within
15	minutes
16	and
17	secured
18	it
19	,
20	then
21	they
22	came
23	out
24	,
25	took
26	off
27	my
28	tire
29	(
30	it
31	was
32	a
33	runflat
34	-
35	but
36	runflats
37	don't
38	do
39	n't
40	do
41	you
42	any
43	good
44	if
45	they
46	blow
47	out
48	)
49	,
50	and
51	brought
52	it
53	to
54	their
55	shop
56	to
57	change
58	the
59	tire
60	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	tracked	VERB	0	root
3	down	ADP	2	compound:prt
4	the	DET	6	det
5	only	ADJ	6	amod
6	tire	NOUN	2	obj
7	that	PRON	8	nsubj
8	fit	VERB	6	acl:relcl
9	my	PRON	11	nmod:poss
10	BMW	PROPN	11	compound
11	330i	PROPN	8	obj
12	in	ADP	13	case
13	Murfreesboro	PROPN	6	nmod
14	within	ADP	15	case
15	minutes	NOUN	2	obl
16	and	CCONJ	17	cc
17	secured	VERB	2	conj
18	it	PRON	17	obj
19	,	PUNCT	2	punct
20	then	ADV	22	advmod
21	they	PRON	22	nsubj
22	came	VERB	2	ccomp
23	out	ADV	22	advmod
24	,	PUNCT	25	punct
25	took	VERB	22	conj
26	off	ADP	25	compound:prt
27	my	PRON	28	nmod:poss
28	tire	NOUN	25	obj
29	(	PUNCT	33	punct
30	it	PRON	33	nsubj
31	was	AUX	33	cop
32	a	DET	33	det
33	runflat	NOUN	22	parataxis
34	-	PUNCT	33	punct
35	but	CCONJ	39	cc
36	runflats	NOUN	39	nsubj
37	don't	_	None	_
38	do	AUX	39	aux
39	n't	PART	39	advmod
40	do	VERB	33	conj
41	you	PRON	39	iobj
42	any	DET	42	det
43	good	ADJ	39	obj
44	if	SCONJ	45	mark
45	they	PRON	45	nsubj
46	blow	VERB	39	advcl
47	out	ADP	45	compound:prt
48	)	PUNCT	33	punct
49	,	PUNCT	50	punct
50	and	CCONJ	50	cc
51	brought	VERB	22	conj
52	it	PRON	50	obj
53	to	ADP	54	case
54	their	PRON	54	nmod:poss
55	shop	NOUN	50	obl
56	to	PART	56	mark
57	change	VERB	50	advcl
58	the	DET	58	det
59	tire	NOUN	56	obj
60	.	PUNCT	2	punct