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 el debate, el ministro de Exteriores volvió a defender los bombardeos de la OTAN contra Serbia y calificó de mitos todas las informaciones que han puesto en duda algunas de las operaciones urdidas por el gobierno de Belgrado, como la matanza de Radzack o la llamada "operación herradura", mediante la que el ejército serbio tenía previsto expulsar de la provincia de Kosovo a la población albanesa.
Postion	Tokenization
1	Durante
2	el
3	debate
4	,
5	el
6	ministro
7	de
8	Exteriores
9	volvió
10	a
11	defender
12	los
13	bombardeos
14	de
15	la
16	OTAN
17	contra
18	Serbia
19	y
20	calificó
21	de
22	mitos
23	todas
24	las
25	informaciones
26	que
27	han
28	puesto
29	en
30	duda
31	algunas
32	de
33	las
34	operaciones
35	urdidas
36	por
37	el
38	gobierno
39	de
40	Belgrado
41	,
42	como
43	la
44	matanza
45	de
46	Radzack
47	o
48	la
49	llamada
50	"
51	operación
52	herradura
53	"
54	,
55	mediante
56	la
57	que
58	el
59	ejército
60	serbio
61	tenía
62	previsto
63	expulsar
64	de
65	la
66	provincia
67	de
68	Kosovo
69	a
70	la
71	población
72	albanesa
73	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	3	case
2	el	DET	3	det
3	debate	NOUN	9	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	ministro	NOUN	9	nsubj
7	de	ADP	8	case
8	Exteriores	PROPN	6	nmod
9	volvió	VERB	0	root
10	a	ADP	11	mark
11	defender	VERB	9	xcomp
12	los	DET	13	det
13	bombardeos	NOUN	9	obj
14	de	ADP	16	case
15	la	DET	16	det
16	OTAN	PROPN	13	nmod
17	contra	ADP	18	case
18	Serbia	PROPN	13	nmod
19	y	CCONJ	20	cc
20	calificó	VERB	11	conj
21	de	ADP	22	case
22	mitos	NOUN	20	obj
23	todas	DET	24	det
24	las	DET	25	det
25	informaciones	NOUN	20	obj
26	que	PRON	28	obj
27	han	AUX	28	aux
28	puesto	VERB	25	acl
29	en	ADP	30	case
30	duda	NOUN	28	compound
31	algunas	PRON	28	nsubj
32	de	ADP	34	case
33	las	DET	34	det
34	operaciones	NOUN	31	nmod
35	urdidas	ADJ	34	amod
36	por	ADP	38	case
37	el	DET	38	det
38	gobierno	NOUN	35	obj
39	de	ADP	40	case
40	Belgrado	PROPN	38	nmod
41	,	PUNCT	44	punct
42	como	SCONJ	44	mark
43	la	DET	44	det
44	matanza	NOUN	34	nmod
45	de	ADP	46	case
46	Radzack	PROPN	44	nmod
47	o	CCONJ	51	cc
48	la	DET	51	det
49	llamada	ADJ	51	amod
50	"	PUNCT	51	punct
51	operación	NOUN	44	conj
52	herradura	NOUN	51	nmod
53	"	PUNCT	51	punct
54	,	PUNCT	61	punct
55	mediante	ADP	57	case
56	la	DET	57	det
57	que	PRON	61	obl
58	el	DET	59	det
59	ejército	NOUN	61	nsubj
60	serbio	ADJ	59	amod
61	tenía	VERB	51	acl
62	previsto	ADJ	61	iobj
63	expulsar	VERB	61	xcomp
64	de	ADP	66	case
65	la	DET	66	det
66	provincia	NOUN	63	obl
67	de	ADP	68	case
68	Kosovo	PROPN	66	nmod
69	a	ADP	71	case
70	la	DET	71	det
71	población	NOUN	63	obj
72	albanesa	ADJ	71	amod
73	.	PUNCT	9	punct