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:
La elección de un nuevo presidente por parte del Parlamento israelí se decidió después de que el actual jefe de Estado, el también laborista Ezer Weizman, anunciara el pasado fin de semana que dimitirá a más tardar el próximo 10 de julio.
Postion	Tokenization
1	La
2	elección
3	de
4	un
5	nuevo
6	presidente
7	por
8	parte
9	del
10	Parlamento
11	israelí
12	se
13	decidió
14	después
15	de
16	que
17	el
18	actual
19	jefe
20	de
21	Estado
22	,
23	el
24	también
25	laborista
26	Ezer
27	Weizman
28	,
29	anunciara
30	el
31	pasado
32	fin
33	de
34	semana
35	que
36	dimitirá
37	a
38	más
39	tardar
40	el
41	próximo
42	10
43	de
44	julio
45	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	elección	NOUN	13	nsubj
3	de	ADP	6	case
4	un	DET	6	det
5	nuevo	ADJ	6	amod
6	presidente	NOUN	2	nmod
7	por	ADP	8	case
8	parte	NOUN	2	nmod
9	del	ADP	10	case
10	Parlamento	PROPN	8	nmod
11	israelí	ADJ	10	amod
12	se	PRON	13	expl:pass
13	decidió	VERB	0	root
14	después	ADV	13	advmod
15	de	ADP	29	mark
16	que	SCONJ	29	mark
17	el	DET	19	det
18	actual	ADJ	19	amod
19	jefe	NOUN	29	nsubj
20	de	ADP	21	case
21	Estado	PROPN	19	nmod
22	,	PUNCT	25	punct
23	el	DET	25	det
24	también	ADV	25	advmod
25	laborista	NOUN	19	appos
26	Ezer	PROPN	25	appos
27	Weizman	PROPN	26	flat
28	,	PUNCT	25	punct
29	anunciara	VERB	14	advcl
30	el	DET	32	det
31	pasado	ADJ	32	amod
32	fin	NOUN	29	obl
33	de	ADP	34	case
34	semana	NOUN	32	nmod
35	que	SCONJ	36	mark
36	dimitirá	VERB	29	ccomp
37	a	ADP	41	advmod
38	más	ADV	37	fixed
39	tardar	NOUN	37	fixed
40	el	DET	41	det
41	próximo	ADJ	36	obl
42	10	NUM	41	compound
43	de	ADP	44	case
44	julio	NOUN	41	compound
45	.	PUNCT	13	punct