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:
Varios senadores y congresistas habían presentado ya su dimisión, pero la de Macapagal-Arroyo, que renunció a su cargo de ministra de Bienestar Social el pasado 12 de Octubre, provocó una serie de deserciones en cadena.
Postion	Tokenization
1	Varios
2	senadores
3	y
4	congresistas
5	habían
6	presentado
7	ya
8	su
9	dimisión
10	,
11	pero
12	la
13	de
14	Macapagal-Arroyo
15	,
16	que
17	renunció
18	a
19	su
20	cargo
21	de
22	ministra
23	de
24	Bienestar
25	Social
26	el
27	pasado
28	12
29	de
30	Octubre
31	,
32	provocó
33	una
34	serie
35	de
36	deserciones
37	en
38	cadena
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Varios	DET	2	det
2	senadores	NOUN	6	nsubj
3	y	CCONJ	4	cc
4	congresistas	NOUN	2	conj
5	habían	AUX	6	aux
6	presentado	VERB	0	root
7	ya	ADV	6	advmod
8	su	DET	9	det
9	dimisión	NOUN	6	obj
10	,	PUNCT	32	punct
11	pero	CCONJ	32	cc
12	la	DET	32	det
13	de	ADP	12	case
14	Macapagal-Arroyo	PROPN	12	nsubj
15	,	PUNCT	17	punct
16	que	PRON	17	nsubj
17	renunció	VERB	14	acl
18	a	ADP	20	case
19	su	DET	20	det
20	cargo	NOUN	17	obj
21	de	ADP	22	case
22	ministra	NOUN	20	nmod
23	de	ADP	24	case
24	Bienestar	PROPN	22	nmod
25	Social	PROPN	24	flat
26	el	DET	28	det
27	pasado	ADJ	28	amod
28	12	NUM	17	obl
29	de	ADP	30	case
30	Octubre	NOUN	28	compound
31	,	PUNCT	17	punct
32	provocó	VERB	6	conj
33	una	DET	34	det
34	serie	NOUN	32	obj
35	de	ADP	36	case
36	deserciones	NOUN	34	nmod
37	en	ADP	38	case
38	cadena	NOUN	36	nmod
39	.	PUNCT	6	punct