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 bombardeo israelí provocó la indignación del mundo árabe, especialmente de Siria y Líbano, cuyos ministros de Asuntos Exteriores se pusieron en contacto telefónico para estudiar una respuesta.
Postion	Tokenization
1	El
2	bombardeo
3	israelí
4	provocó
5	la
6	indignación
7	del
8	mundo
9	árabe
10	,
11	especialmente
12	de
13	Siria
14	y
15	Líbano
16	,
17	cuyos
18	ministros
19	de
20	Asuntos
21	Exteriores
22	se
23	pusieron
24	en
25	contacto
26	telefónico
27	para
28	estudiar
29	una
30	respuesta
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	bombardeo	NOUN	4	nsubj
3	israelí	ADJ	2	amod
4	provocó	VERB	0	root
5	la	DET	6	det
6	indignación	NOUN	4	obj
7	del	ADP	8	case
8	mundo	NOUN	6	nmod
9	árabe	ADJ	8	amod
10	,	PUNCT	11	punct
11	especialmente	ADV	8	advmod
12	de	ADP	11	case
13	Siria	PROPN	11	nmod
14	y	CCONJ	15	cc
15	Líbano	PROPN	13	conj
16	,	PUNCT	23	punct
17	cuyos	PRON	18	nmod
18	ministros	NOUN	23	nsubj
19	de	ADP	20	case
20	Asuntos	PROPN	18	nmod
21	Exteriores	PROPN	20	flat
22	se	PRON	23	obj
23	pusieron	VERB	13	acl
24	en	ADP	25	case
25	contacto	NOUN	23	obl
26	telefónico	ADJ	25	amod
27	para	ADP	28	mark
28	estudiar	VERB	23	advcl
29	una	DET	30	det
30	respuesta	NOUN	28	obj
31	.	PUNCT	4	punct