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 antiguo dirigente del aparato militar de ETA se negó, sin embargo, a responder a las preguntas de Palacios, leídas por la juez de instrucción antiterrorista francesa Laurence Le Vert.
Postion	Tokenization
1	El
2	antiguo
3	dirigente
4	del
5	aparato
6	militar
7	de
8	ETA
9	se
10	negó
11	,
12	sin
13	embargo
14	,
15	a
16	responder
17	a
18	las
19	preguntas
20	de
21	Palacios
22	,
23	leídas
24	por
25	la
26	juez
27	de
28	instrucción
29	antiterrorista
30	francesa
31	Laurence
32	Le
33	Vert
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	antiguo	ADJ	3	amod
3	dirigente	NOUN	10	nsubj
4	del	ADP	5	case
5	aparato	NOUN	3	nmod
6	militar	ADJ	5	amod
7	de	ADP	8	case
8	ETA	PROPN	5	nmod
9	se	PRON	10	expl:pv
10	negó	VERB	0	root
11	,	PUNCT	12	punct
12	sin	ADP	10	advmod
13	embargo	NOUN	12	fixed
14	,	PUNCT	12	punct
15	a	ADP	16	mark
16	responder	VERB	10	xcomp
17	a	ADP	19	case
18	las	DET	19	det
19	preguntas	NOUN	16	obj
20	de	ADP	21	case
21	Palacios	PROPN	19	nmod
22	,	PUNCT	23	punct
23	leídas	ADJ	19	amod
24	por	ADP	26	case
25	la	DET	26	det
26	juez	NOUN	23	obj
27	de	ADP	28	case
28	instrucción	NOUN	26	nmod
29	antiterrorista	ADJ	28	amod
30	francesa	ADJ	28	amod
31	Laurence	PROPN	26	appos
32	Le	PRON	31	flat
33	Vert	PROPN	31	flat
34	.	PUNCT	10	punct