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:
Su persecución es uno de esos atractivos marginales que aún le quedan a la Vuelta y que mantienen un interés más cercano a la curiosidad que a la emoción.
Postion	Tokenization
1	Su
2	persecución
3	es
4	uno
5	de
6	esos
7	atractivos
8	marginales
9	que
10	aún
11	le
12	quedan
13	a
14	la
15	Vuelta
16	y
17	que
18	mantienen
19	un
20	interés
21	más
22	cercano
23	a
24	la
25	curiosidad
26	que
27	a
28	la
29	emoción
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Su	DET	2	det
2	persecución	NOUN	4	nsubj
3	es	AUX	4	cop
4	uno	PRON	0	root
5	de	ADP	7	case
6	esos	DET	7	det
7	atractivos	NOUN	4	nmod
8	marginales	ADJ	7	amod
9	que	PRON	12	nsubj
10	aún	ADV	12	advmod
11	le	PRON	12	obj
12	quedan	VERB	7	acl
13	a	ADP	15	case
14	la	DET	15	det
15	Vuelta	PROPN	12	obj
16	y	CCONJ	18	cc
17	que	PRON	18	nsubj
18	mantienen	VERB	12	conj
19	un	DET	20	det
20	interés	NOUN	18	obj
21	más	ADV	22	advmod
22	cercano	ADJ	20	amod
23	a	ADP	25	case
24	la	DET	25	det
25	curiosidad	NOUN	22	nmod
26	que	SCONJ	29	mark
27	a	ADP	29	case
28	la	DET	29	det
29	emoción	NOUN	22	obl
30	.	PUNCT	4	punct