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 presidente y el secretario general de la RFEF, Angel María Villar y Gerardo González, respectivamente, visitaron hoy el centro de producción que Media Park tiene en Sant Just Desvern (Barcelona) para conocer el estado de desarrollo de la web.
Postion	Tokenization
1	El
2	presidente
3	y
4	el
5	secretario
6	general
7	de
8	la
9	RFEF
10	,
11	Angel
12	María
13	Villar
14	y
15	Gerardo
16	González
17	,
18	respectivamente
19	,
20	visitaron
21	hoy
22	el
23	centro
24	de
25	producción
26	que
27	Media
28	Park
29	tiene
30	en
31	Sant
32	Just
33	Desvern
34	(
35	Barcelona
36	)
37	para
38	conocer
39	el
40	estado
41	de
42	desarrollo
43	de
44	la
45	web
46	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	20	nsubj
3	y	CCONJ	5	cc
4	el	DET	5	det
5	secretario	NOUN	2	conj
6	general	ADJ	5	amod
7	de	ADP	9	case
8	la	DET	9	det
9	RFEF	PROPN	2	nmod
10	,	PUNCT	11	punct
11	Angel	PROPN	2	appos
12	María	PROPN	11	flat
13	Villar	PROPN	11	flat
14	y	CCONJ	15	cc
15	Gerardo	PROPN	11	conj
16	González	PROPN	15	flat
17	,	PUNCT	18	punct
18	respectivamente	ADV	11	advmod
19	,	PUNCT	18	punct
20	visitaron	VERB	0	root
21	hoy	ADV	20	advmod
22	el	DET	23	det
23	centro	NOUN	20	obj
24	de	ADP	25	case
25	producción	NOUN	23	nmod
26	que	PRON	29	obj
27	Media	PROPN	29	nsubj
28	Park	PROPN	27	flat
29	tiene	VERB	23	acl
30	en	ADP	31	case
31	Sant	PROPN	29	obl
32	Just	PROPN	31	flat
33	Desvern	PROPN	31	flat
34	(	PUNCT	35	punct
35	Barcelona	PROPN	31	flat
36	)	PUNCT	35	punct
37	para	ADP	38	mark
38	conocer	VERB	20	advcl
39	el	DET	40	det
40	estado	NOUN	38	obj
41	de	ADP	42	case
42	desarrollo	NOUN	40	nmod
43	de	ADP	45	case
44	la	DET	45	det
45	web	NOUN	40	nmod
46	.	PUNCT	20	punct