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:
Para contrarrestar esta campaña, Estrada ha convocado para el próximo Sábado al pueblo filipino en el parque de Rizal, el mayor de Manila, en un intento de hacer frente a las críticas.
Postion	Tokenization
1	Para
2	contrarrestar
3	esta
4	campaña
5	,
6	Estrada
7	ha
8	convocado
9	para
10	el
11	próximo
12	Sábado
13	al
14	pueblo
15	filipino
16	en
17	el
18	parque
19	de
20	Rizal
21	,
22	el
23	mayor
24	de
25	Manila
26	,
27	en
28	un
29	intento
30	de
31	hacer
32	frente
33	a
34	las
35	críticas
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	contrarrestar	VERB	8	advcl
3	esta	DET	4	det
4	campaña	NOUN	2	obj
5	,	PUNCT	2	punct
6	Estrada	PROPN	8	nsubj
7	ha	AUX	8	aux
8	convocado	VERB	0	root
9	para	ADP	12	case
10	el	DET	12	det
11	próximo	ADJ	12	amod
12	Sábado	NOUN	8	obl
13	al	ADP	14	case
14	pueblo	NOUN	8	obj
15	filipino	ADJ	14	amod
16	en	ADP	18	case
17	el	DET	18	det
18	parque	NOUN	8	obl
19	de	ADP	20	case
20	Rizal	PROPN	18	nmod
21	,	PUNCT	23	punct
22	el	DET	23	det
23	mayor	ADJ	18	appos
24	de	ADP	25	case
25	Manila	PROPN	23	nmod
26	,	PUNCT	23	punct
27	en	ADP	29	case
28	un	DET	29	det
29	intento	NOUN	8	obl
30	de	ADP	31	mark
31	hacer	VERB	29	acl
32	frente	NOUN	31	compound
33	a	ADP	35	case
34	las	DET	35	det
35	críticas	NOUN	31	obj
36	.	PUNCT	8	punct