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:
A pesar de que el presidente electo en la isla se apresuró en sus primeras declaraciones públicas a despejar los temores independentistas suscitados en Pekín por la victoria, las autoridades chinas aún no han dado a conocer su reacción oficial sobre el resultado de los comicios.
Postion	Tokenization
1	A
2	pesar
3	de
4	que
5	el
6	presidente
7	electo
8	en
9	la
10	isla
11	se
12	apresuró
13	en
14	sus
15	primeras
16	declaraciones
17	públicas
18	a
19	despejar
20	los
21	temores
22	independentistas
23	suscitados
24	en
25	Pekín
26	por
27	la
28	victoria
29	,
30	las
31	autoridades
32	chinas
33	aún
34	no
35	han
36	dado
37	a
38	conocer
39	su
40	reacción
41	oficial
42	sobre
43	el
44	resultado
45	de
46	los
47	comicios
48	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	12	mark
2	pesar	NOUN	1	fixed
3	de	ADP	1	fixed
4	que	SCONJ	1	fixed
5	el	DET	6	det
6	presidente	NOUN	12	nsubj
7	electo	ADJ	6	amod
8	en	ADP	10	case
9	la	DET	10	det
10	isla	NOUN	6	nmod
11	se	PRON	12	expl:pv
12	apresuró	VERB	36	advcl
13	en	ADP	16	case
14	sus	DET	16	det
15	primeras	ADJ	16	amod
16	declaraciones	NOUN	12	obl
17	públicas	ADJ	16	amod
18	a	ADP	19	mark
19	despejar	VERB	12	xcomp
20	los	DET	21	det
21	temores	NOUN	19	obj
22	independentistas	ADJ	21	amod
23	suscitados	ADJ	21	amod
24	en	ADP	25	case
25	Pekín	PROPN	23	obl
26	por	ADP	28	case
27	la	DET	28	det
28	victoria	NOUN	23	obl
29	,	PUNCT	12	punct
30	las	DET	31	det
31	autoridades	NOUN	36	nsubj
32	chinas	ADJ	31	amod
33	aún	ADV	36	advmod
34	no	ADV	36	advmod
35	han	AUX	36	aux
36	dado	VERB	0	root
37	a	ADP	38	case
38	conocer	NOUN	36	compound
39	su	DET	40	det
40	reacción	NOUN	36	obj
41	oficial	ADJ	40	amod
42	sobre	ADP	44	case
43	el	DET	44	det
44	resultado	NOUN	40	nmod
45	de	ADP	47	case
46	los	DET	47	det
47	comicios	NOUN	44	nmod
48	.	PUNCT	36	punct