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:
Pocas horas después de que el canciller alemán asegurara que el presidente Putin reconocía a Vojislav Kostunica como presidente legítimo de Yugoslavia, el secretario del Consejo de Seguridad ruso, Serguei Ivanov, daba a entender todo lo contrario en Moscú: que Putin apoyaba la celebración de una segunda vuelta.
Postion	Tokenization
1	Pocas
2	horas
3	después
4	de
5	que
6	el
7	canciller
8	alemán
9	asegurara
10	que
11	el
12	presidente
13	Putin
14	reconocía
15	a
16	Vojislav
17	Kostunica
18	como
19	presidente
20	legítimo
21	de
22	Yugoslavia
23	,
24	el
25	secretario
26	del
27	Consejo
28	de
29	Seguridad
30	ruso
31	,
32	Serguei
33	Ivanov
34	,
35	daba
36	a
37	entender
38	todo
39	lo
40	contrario
41	en
42	Moscú
43	:
44	que
45	Putin
46	apoyaba
47	la
48	celebración
49	de
50	una
51	segunda
52	vuelta
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Pocas	DET	2	det
2	horas	NOUN	3	obl
3	después	ADV	35	advmod
4	de	ADP	9	mark
5	que	SCONJ	9	mark
6	el	DET	7	det
7	canciller	NOUN	9	nsubj
8	alemán	ADJ	7	amod
9	asegurara	VERB	3	advcl
10	que	SCONJ	14	mark
11	el	DET	12	det
12	presidente	NOUN	14	nsubj
13	Putin	PROPN	12	appos
14	reconocía	VERB	9	ccomp
15	a	ADP	16	case
16	Vojislav	PROPN	14	obj
17	Kostunica	PROPN	16	flat
18	como	SCONJ	19	mark
19	presidente	NOUN	14	obj
20	legítimo	ADJ	19	amod
21	de	ADP	22	case
22	Yugoslavia	PROPN	19	nmod
23	,	PUNCT	3	punct
24	el	DET	25	det
25	secretario	NOUN	35	nsubj
26	del	ADP	27	case
27	Consejo	PROPN	25	nmod
28	de	ADP	29	case
29	Seguridad	PROPN	27	flat
30	ruso	ADJ	27	amod
31	,	PUNCT	32	punct
32	Serguei	PROPN	25	appos
33	Ivanov	PROPN	32	flat
34	,	PUNCT	32	punct
35	daba	VERB	0	root
36	a	ADP	37	mark
37	entender	VERB	35	xcomp
38	todo	DET	39	det
39	lo	PRON	40	det
40	contrario	ADJ	35	iobj
41	en	ADP	42	case
42	Moscú	PROPN	35	obl
43	:	PUNCT	46	punct
44	que	SCONJ	46	mark
45	Putin	PROPN	46	nsubj
46	apoyaba	VERB	35	advcl
47	la	DET	48	det
48	celebración	NOUN	46	obj
49	de	ADP	52	case
50	una	DET	52	det
51	segunda	ADJ	52	amod
52	vuelta	NOUN	48	nmod
53	.	PUNCT	35	punct