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:
Pese al anhelo de volcarse en Catalunya, la experta no dudará en exportar su experiencia a Bruselas, en busca de auditorio.
Postion	Tokenization
1	Pese
2	al
3	anhelo
4	de
5	volcarse
6	volcar
7	se
8	en
9	Catalunya
10	,
11	la
12	experta
13	no
14	dudará
15	en
16	exportar
17	su
18	experiencia
19	a
20	Bruselas
21	,
22	en
23	busca
24	de
25	auditorio
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	3	case
2	al	ADP	1	fixed
3	anhelo	NOUN	13	obl
4	de	ADP	5	mark
5	volcarse	_	None	_
6	volcar	VERB	3	acl
7	se	PRON	5	expl:pv
8	en	ADP	8	case
9	Catalunya	PROPN	5	obl
10	,	PUNCT	3	punct
11	la	DET	11	det
12	experta	NOUN	13	nsubj
13	no	ADV	13	advmod
14	dudará	VERB	0	root
15	en	ADP	15	mark
16	exportar	VERB	13	xcomp
17	su	DET	17	det
18	experiencia	NOUN	15	obj
19	a	ADP	19	case
20	Bruselas	PROPN	15	obl
21	,	PUNCT	22	punct
22	en	ADP	22	case
23	busca	NOUN	15	obl
24	de	ADP	24	case
25	auditorio	NOUN	22	nmod
26	.	PUNCT	13	punct