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:
Vigo, que pasa así a formar parte de la comisión política de la formación, ha sustituido en el Parlament a Joan Puigcercós, diputado electo de ERC en el Congreso.
Postion	Tokenization
1	Vigo
2	,
3	que
4	pasa
5	así
6	a
7	formar
8	parte
9	de
10	la
11	comisión
12	política
13	de
14	la
15	formación
16	,
17	ha
18	sustituido
19	en
20	el
21	Parlament
22	a
23	Joan
24	Puigcercós
25	,
26	diputado
27	electo
28	de
29	ERC
30	en
31	el
32	Congreso
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Vigo	PROPN	18	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	pasa	VERB	1	acl
5	así	ADV	4	advmod
6	a	ADP	7	mark
7	formar	VERB	4	xcomp
8	parte	NOUN	7	compound
9	de	ADP	11	case
10	la	DET	11	det
11	comisión	NOUN	7	obj
12	política	ADJ	11	amod
13	de	ADP	15	case
14	la	DET	15	det
15	formación	NOUN	11	nmod
16	,	PUNCT	4	punct
17	ha	AUX	18	aux
18	sustituido	VERB	0	root
19	en	ADP	21	case
20	el	DET	21	det
21	Parlament	PROPN	18	obl
22	a	ADP	23	case
23	Joan	PROPN	18	obj
24	Puigcercós	PROPN	23	flat
25	,	PUNCT	26	punct
26	diputado	NOUN	23	appos
27	electo	ADJ	26	amod
28	de	ADP	29	case
29	ERC	PROPN	26	nmod
30	en	ADP	32	case
31	el	DET	32	det
32	Congreso	PROPN	26	nmod
33	.	PUNCT	18	punct