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:
Durante la semana, el presidente ha ido perdiendo el apoyo del sector económico al pedir públicamente su dimisión tanto la Cámara de Comercio e Industria de Filipinas, con más de 20.000 miembros, como la Asociación de Analistas Financieros, por considerar que sólo su renuncia sacará al país de la crisis.
Postion	Tokenization
1	Durante
2	la
3	semana
4	,
5	el
6	presidente
7	ha
8	ido
9	perdiendo
10	el
11	apoyo
12	del
13	sector
14	económico
15	al
16	pedir
17	públicamente
18	su
19	dimisión
20	tanto
21	la
22	Cámara
23	de
24	Comercio
25	e
26	Industria
27	de
28	Filipinas
29	,
30	con
31	más
32	de
33	20.000
34	miembros
35	,
36	como
37	la
38	Asociación
39	de
40	Analistas
41	Financieros
42	,
43	por
44	considerar
45	que
46	sólo
47	su
48	renuncia
49	sacará
50	al
51	país
52	de
53	la
54	crisis
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	3	case
2	la	DET	3	det
3	semana	NOUN	9	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	presidente	NOUN	9	nsubj
7	ha	AUX	9	aux
8	ido	AUX	9	aux
9	perdiendo	VERB	0	root
10	el	DET	11	det
11	apoyo	NOUN	9	obj
12	del	ADP	13	case
13	sector	NOUN	11	nmod
14	económico	ADJ	13	amod
15	al	ADP	16	mark
16	pedir	VERB	9	advcl
17	públicamente	ADV	16	advmod
18	su	DET	19	det
19	dimisión	NOUN	16	obj
20	tanto	ADV	22	cc
21	la	DET	22	det
22	Cámara	PROPN	16	nsubj
23	de	ADP	24	case
24	Comercio	PROPN	22	flat
25	e	CCONJ	26	cc
26	Industria	PROPN	24	conj
27	de	ADP	28	case
28	Filipinas	PROPN	22	flat
29	,	PUNCT	34	punct
30	con	ADP	34	case
31	más	ADV	34	advmod
32	de	ADP	31	case
33	20.000	NUM	31	nummod
34	miembros	NOUN	22	nmod
35	,	PUNCT	38	punct
36	como	SCONJ	38	cc
37	la	DET	38	det
38	Asociación	PROPN	22	conj
39	de	ADP	40	case
40	Analistas	PROPN	38	flat
41	Financieros	PROPN	40	flat
42	,	PUNCT	44	punct
43	por	ADP	44	mark
44	considerar	VERB	16	advcl
45	que	SCONJ	49	mark
46	sólo	ADV	49	advmod
47	su	DET	48	det
48	renuncia	NOUN	49	nsubj
49	sacará	VERB	44	ccomp
50	al	ADP	51	case
51	país	NOUN	49	obj
52	de	ADP	54	case
53	la	DET	54	det
54	crisis	NOUN	49	obl
55	.	PUNCT	9	punct