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 dos días del histórico acontecimiento, que ha traído a Seúl a unos 500 corresponsales de 26 países, la capital del Sur no lanza las campanas al vuelo pues no se esperan resultados inmediatos que lleven a una reunificación rápida como la de Alemania tras la caída del muro de Berlín.
Postion	Tokenization
1	A
2	dos
3	días
4	del
5	histórico
6	acontecimiento
7	,
8	que
9	ha
10	traído
11	a
12	Seúl
13	a
14	unos
15	500
16	corresponsales
17	de
18	26
19	países
20	,
21	la
22	capital
23	del
24	Sur
25	no
26	lanza
27	las
28	campanas
29	al
30	vuelo
31	pues
32	no
33	se
34	esperan
35	resultados
36	inmediatos
37	que
38	lleven
39	a
40	una
41	reunificación
42	rápida
43	como
44	la
45	de
46	Alemania
47	tras
48	la
49	caída
50	del
51	muro
52	de
53	Berlín
54	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	dos	NUM	3	nummod
3	días	NOUN	26	obl
4	del	ADP	6	case
5	histórico	ADJ	6	amod
6	acontecimiento	NOUN	3	nmod
7	,	PUNCT	10	punct
8	que	PRON	10	nsubj
9	ha	AUX	10	aux
10	traído	VERB	6	acl
11	a	ADP	12	case
12	Seúl	PROPN	10	obl
13	a	ADP	16	case
14	unos	PRON	15	nmod
15	500	NUM	16	nummod
16	corresponsales	NOUN	10	obj
17	de	ADP	19	case
18	26	NUM	19	nummod
19	países	NOUN	16	nmod
20	,	PUNCT	3	punct
21	la	DET	22	det
22	capital	NOUN	26	nsubj
23	del	ADP	24	case
24	Sur	PROPN	22	nmod
25	no	ADV	26	advmod
26	lanza	VERB	0	root
27	las	DET	26	compound
28	campanas	VERB	26	compound
29	al	ADP	26	compound
30	vuelo	VERB	26	compound
31	pues	SCONJ	34	mark
32	no	ADV	34	advmod
33	se	PRON	34	expl:pass
34	esperan	VERB	26	advcl
35	resultados	NOUN	34	nsubj
36	inmediatos	ADJ	35	amod
37	que	PRON	38	nsubj
38	lleven	VERB	35	acl
39	a	ADP	41	case
40	una	DET	41	det
41	reunificación	NOUN	38	obj
42	rápida	ADJ	41	amod
43	como	SCONJ	44	mark
44	la	DET	41	det
45	de	ADP	44	case
46	Alemania	PROPN	44	nmod
47	tras	ADP	49	case
48	la	DET	49	det
49	caída	NOUN	46	nmod
50	del	ADP	51	case
51	muro	NOUN	49	nmod
52	de	ADP	53	case
53	Berlín	PROPN	51	nmod
54	.	PUNCT	26	punct