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 Sábado pasado fue la oposición y el influyente arzobispo de Manila, cardenal Jaime Sin, quienes convocaron una manifestación multitudinaria en la que miles de filipinos pidieron la dimisión de Estrada.
Postion	Tokenization
1	El
2	Sábado
3	pasado
4	fue
5	la
6	oposición
7	y
8	el
9	influyente
10	arzobispo
11	de
12	Manila
13	,
14	cardenal
15	Jaime
16	Sin
17	,
18	quienes
19	convocaron
20	una
21	manifestación
22	multitudinaria
23	en
24	la
25	que
26	miles
27	de
28	filipinos
29	pidieron
30	la
31	dimisión
32	de
33	Estrada
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Sábado	NOUN	6	obl
3	pasado	ADJ	2	amod
4	fue	AUX	6	cop
5	la	DET	6	det
6	oposición	NOUN	0	root
7	y	CCONJ	10	cc
8	el	DET	10	det
9	influyente	ADJ	10	amod
10	arzobispo	NOUN	6	conj
11	de	ADP	12	case
12	Manila	PROPN	10	nmod
13	,	PUNCT	14	punct
14	cardenal	NOUN	10	appos
15	Jaime	PROPN	14	appos
16	Sin	ADP	15	flat
17	,	PUNCT	14	punct
18	quienes	PRON	19	nsubj
19	convocaron	VERB	6	csubj
20	una	DET	21	det
21	manifestación	NOUN	19	obj
22	multitudinaria	ADJ	21	amod
23	en	ADP	25	case
24	la	DET	25	det
25	que	PRON	29	obl
26	miles	NUM	29	nsubj
27	de	ADP	28	case
28	filipinos	NOUN	26	nmod
29	pidieron	VERB	21	acl
30	la	DET	31	det
31	dimisión	NOUN	29	obj
32	de	ADP	33	case
33	Estrada	PROPN	31	nmod
34	.	PUNCT	6	punct