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:
Antes de clausurar en Cádiz un seminario sobre el constitucionalismo en España, Pérez Llorca declaró a Efe que el pacto antiterrorista es "un ejemplo de consenso que nos trae la mejor tradición de aquella época".
Postion	Tokenization
1	Antes
2	de
3	clausurar
4	en
5	Cádiz
6	un
7	seminario
8	sobre
9	el
10	constitucionalismo
11	en
12	España
13	,
14	Pérez
15	Llorca
16	declaró
17	a
18	Efe
19	que
20	el
21	pacto
22	antiterrorista
23	es
24	"
25	un
26	ejemplo
27	de
28	consenso
29	que
30	nos
31	trae
32	la
33	mejor
34	tradición
35	de
36	aquella
37	época
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Antes	ADV	16	advmod
2	de	ADP	3	mark
3	clausurar	VERB	1	advcl
4	en	ADP	5	case
5	Cádiz	PROPN	3	obl
6	un	DET	7	det
7	seminario	NOUN	3	obj
8	sobre	ADP	10	case
9	el	DET	10	det
10	constitucionalismo	NOUN	7	nmod
11	en	ADP	12	case
12	España	PROPN	10	nmod
13	,	PUNCT	1	punct
14	Pérez	PROPN	16	nsubj
15	Llorca	PROPN	14	flat
16	declaró	VERB	0	root
17	a	ADP	18	case
18	Efe	PROPN	16	iobj
19	que	SCONJ	26	mark
20	el	DET	21	det
21	pacto	NOUN	26	nsubj
22	antiterrorista	ADJ	21	amod
23	es	AUX	26	cop
24	"	PUNCT	26	punct
25	un	DET	26	det
26	ejemplo	NOUN	16	ccomp
27	de	ADP	28	case
28	consenso	NOUN	26	nmod
29	que	PRON	31	obj
30	nos	PRON	31	iobj
31	trae	VERB	26	acl
32	la	DET	34	det
33	mejor	ADJ	34	amod
34	tradición	NOUN	31	nsubj
35	de	ADP	37	case
36	aquella	DET	37	det
37	época	NOUN	34	nmod
38	"	PUNCT	26	punct
39	.	PUNCT	16	punct