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:
Pero en la cuarta, la italiana efectuó un sensacional despliegue de fuerza, superando a la helvética y conectando con la rueda trasera de Fullana, poco antes de adelantarla en una de las zonas más peligrosas del circuito, la "Dusty Chute" ("caída polvorienta").
Postion	Tokenization
1	Pero
2	en
3	la
4	cuarta
5	,
6	la
7	italiana
8	efectuó
9	un
10	sensacional
11	despliegue
12	de
13	fuerza
14	,
15	superando
16	a
17	la
18	helvética
19	y
20	conectando
21	con
22	la
23	rueda
24	trasera
25	de
26	Fullana
27	,
28	poco
29	antes
30	de
31	adelantarla
32	adelantar
33	la
34	en
35	una
36	de
37	las
38	zonas
39	más
40	peligrosas
41	del
42	circuito
43	,
44	la
45	"
46	Dusty
47	Chute
48	"
49	(
50	"
51	caída
52	polvorienta
53	"
54	)
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	8	advmod
2	en	ADP	4	case
3	la	DET	4	det
4	cuarta	ADJ	8	obl
5	,	PUNCT	4	punct
6	la	DET	7	det
7	italiana	NOUN	8	nsubj
8	efectuó	VERB	0	root
9	un	DET	11	det
10	sensacional	ADJ	11	amod
11	despliegue	NOUN	8	obj
12	de	ADP	13	case
13	fuerza	NOUN	11	nmod
14	,	PUNCT	15	punct
15	superando	VERB	8	advcl
16	a	ADP	18	case
17	la	DET	18	det
18	helvética	NOUN	15	obj
19	y	CCONJ	20	cc
20	conectando	VERB	15	conj
21	con	ADP	23	case
22	la	DET	23	det
23	rueda	NOUN	20	obj
24	trasera	ADJ	23	amod
25	de	ADP	26	case
26	Fullana	PROPN	23	nmod
27	,	PUNCT	29	punct
28	poco	ADV	29	advmod
29	antes	ADV	8	advmod
30	de	ADP	31	mark
31	adelantarla	_	None	_
32	adelantar	VERB	29	advcl
33	la	PRON	31	obj
34	en	ADP	34	case
35	una	DET	31	det
36	de	ADP	34	case
37	las	DET	37	det
38	zonas	NOUN	34	obl
39	más	ADV	39	advmod
40	peligrosas	ADJ	37	amod
41	del	ADP	41	case
42	circuito	NOUN	37	nmod
43	,	PUNCT	45	punct
44	la	DET	45	det
45	"	PUNCT	45	punct
46	Dusty	PROPN	34	nmod
47	Chute	PROPN	45	flat
48	"	PUNCT	45	punct
49	(	PUNCT	50	punct
50	"	PUNCT	50	punct
51	caída	NOUN	45	appos
52	polvorienta	ADJ	50	amod
53	"	PUNCT	50	punct
54	)	PUNCT	50	punct
55	.	PUNCT	8	punct