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:
Israel, en vez de estudiar la oferta de paz de la cumbre de Beirut, lanza su furia destructiva creyendo que con eso zanjará la cuestión.
Postion	Tokenization
1	Israel
2	,
3	en
4	vez
5	de
6	estudiar
7	la
8	oferta
9	de
10	paz
11	de
12	la
13	cumbre
14	de
15	Beirut
16	,
17	lanza
18	su
19	furia
20	destructiva
21	creyendo
22	que
23	con
24	eso
25	zanjará
26	la
27	cuestión
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Israel	PROPN	17	nsubj
2	,	PUNCT	6	punct
3	en	ADP	6	mark
4	vez	NOUN	3	fixed
5	de	ADP	3	fixed
6	estudiar	VERB	17	advcl
7	la	DET	8	det
8	oferta	NOUN	6	obj
9	de	ADP	10	case
10	paz	NOUN	8	nmod
11	de	ADP	13	case
12	la	DET	13	det
13	cumbre	NOUN	8	nmod
14	de	ADP	15	case
15	Beirut	PROPN	13	nmod
16	,	PUNCT	6	punct
17	lanza	VERB	0	root
18	su	DET	19	det
19	furia	NOUN	17	obj
20	destructiva	ADJ	19	amod
21	creyendo	VERB	17	advcl
22	que	SCONJ	25	mark
23	con	ADP	24	case
24	eso	PRON	25	obl
25	zanjará	VERB	21	ccomp
26	la	DET	27	det
27	cuestión	NOUN	25	obj
28	.	PUNCT	17	punct