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:
Pedro Pacheco protagonizará esta noche su primer mitin de campaña en el Centro de Congresos de Jerez de la Frontera, ciudad de la que es alcalde desde hace 21 años.
Postion	Tokenization
1	Pedro
2	Pacheco
3	protagonizará
4	esta
5	noche
6	su
7	primer
8	mitin
9	de
10	campaña
11	en
12	el
13	Centro
14	de
15	Congresos
16	de
17	Jerez
18	de
19	la
20	Frontera
21	,
22	ciudad
23	de
24	la
25	que
26	es
27	alcalde
28	desde
29	hace
30	21
31	años
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Pedro	PROPN	3	nsubj
2	Pacheco	PROPN	1	flat
3	protagonizará	VERB	0	root
4	esta	DET	5	det
5	noche	NOUN	3	obl
6	su	DET	8	det
7	primer	ADJ	8	amod
8	mitin	NOUN	3	obj
9	de	ADP	10	case
10	campaña	NOUN	8	nmod
11	en	ADP	13	case
12	el	DET	13	det
13	Centro	PROPN	3	obl
14	de	ADP	15	case
15	Congresos	PROPN	13	flat
16	de	ADP	17	case
17	Jerez	PROPN	13	nmod
18	de	ADP	20	case
19	la	DET	20	det
20	Frontera	PROPN	17	flat
21	,	PUNCT	22	punct
22	ciudad	NOUN	17	appos
23	de	ADP	25	case
24	la	DET	25	det
25	que	PRON	27	obl
26	es	AUX	27	cop
27	alcalde	NOUN	22	acl
28	desde	ADP	29	mark
29	hace	VERB	27	advcl
30	21	NUM	31	nummod
31	años	NOUN	29	obj
32	.	PUNCT	3	punct