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:
El alcalde de Ribes de Fresser y diputado republicano en el Parlament, Pere Vigo, será confirmado hoy como nuevo secretario de política parlamentaria de Esquerra Republicana por el consejo nacional del partido.
Postion	Tokenization
1	El
2	alcalde
3	de
4	Ribes
5	de
6	Fresser
7	y
8	diputado
9	republicano
10	en
11	el
12	Parlament
13	,
14	Pere
15	Vigo
16	,
17	será
18	confirmado
19	hoy
20	como
21	nuevo
22	secretario
23	de
24	política
25	parlamentaria
26	de
27	Esquerra
28	Republicana
29	por
30	el
31	consejo
32	nacional
33	del
34	partido
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	alcalde	NOUN	18	nsubj
3	de	ADP	4	case
4	Ribes	PROPN	2	nmod
5	de	ADP	6	case
6	Fresser	PROPN	4	flat
7	y	CCONJ	8	cc
8	diputado	NOUN	2	conj
9	republicano	ADJ	8	amod
10	en	ADP	12	case
11	el	DET	12	det
12	Parlament	PROPN	8	nmod
13	,	PUNCT	14	punct
14	Pere	PROPN	2	appos
15	Vigo	PROPN	14	flat
16	,	PUNCT	14	punct
17	será	AUX	18	aux
18	confirmado	VERB	0	root
19	hoy	ADV	18	advmod
20	como	SCONJ	22	mark
21	nuevo	ADJ	22	amod
22	secretario	NOUN	18	obl
23	de	ADP	24	case
24	política	NOUN	22	nmod
25	parlamentaria	ADJ	24	amod
26	de	ADP	27	case
27	Esquerra	PROPN	22	nmod
28	Republicana	PROPN	27	flat
29	por	ADP	31	case
30	el	DET	31	det
31	consejo	NOUN	18	obj
32	nacional	ADJ	31	amod
33	del	ADP	34	case
34	partido	NOUN	31	nmod
35	.	PUNCT	18	punct