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:
Pese a ello, el 74 por ciento de los israelíes opina que Weizman "ha sido un buen presidente".
Postion	Tokenization
1	Pese
2	a
3	ello
4	,
5	el
6	74
7	por
8	ciento
9	de
10	los
11	israelíes
12	opina
13	que
14	Weizman
15	"
16	ha
17	sido
18	un
19	buen
20	presidente
21	"
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	3	case
2	a	ADP	1	fixed
3	ello	PRON	12	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	74	NUM	12	nsubj
7	por	ADP	8	case
8	ciento	NUM	6	compound
9	de	ADP	11	case
10	los	DET	11	det
11	israelíes	NOUN	6	nmod
12	opina	VERB	0	root
13	que	SCONJ	20	mark
14	Weizman	PROPN	20	nsubj
15	"	PUNCT	20	punct
16	ha	AUX	20	aux
17	sido	AUX	20	cop
18	un	DET	20	det
19	buen	ADJ	20	amod
20	presidente	NOUN	12	ccomp
21	"	PUNCT	20	punct
22	.	PUNCT	12	punct