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:
Debe de ser la erótica de la política, que el propio candidato llevó al extremo en Murcia, donde, ironizando sobre la manera con la que Aznar denomina al pacto PSOE-IU (la "cosa"), Almunia defendió la transparencia de ese acuerdo frente a la falta de concreción de los aliados de Aznar: "¿Cómo es su cosa?, ¿dónde tienen su cosa?...", fue preguntando el candidato socialista a un auditorio cada vez más divertido.
Postion	Tokenization
1	Debe
2	de
3	ser
4	la
5	erótica
6	de
7	la
8	política
9	,
10	que
11	el
12	propio
13	candidato
14	llevó
15	al
16	extremo
17	en
18	Murcia
19	,
20	donde
21	,
22	ironizando
23	sobre
24	la
25	manera
26	con
27	la
28	que
29	Aznar
30	denomina
31	al
32	pacto
33	PSOE-IU
34	(
35	la
36	"
37	cosa
38	"
39	)
40	,
41	Almunia
42	defendió
43	la
44	transparencia
45	de
46	ese
47	acuerdo
48	frente
49	a
50	la
51	falta
52	de
53	concreción
54	de
55	los
56	aliados
57	de
58	Aznar
59	:
60	"
61	¿
62	Cómo
63	es
64	su
65	cosa
66	?
67	,
68	¿
69	dónde
70	tienen
71	su
72	cosa
73	?
74	...
75	"
76	,
77	fue
78	preguntando
79	el
80	candidato
81	socialista
82	a
83	un
84	auditorio
85	cada
86	vez
87	más
88	divertido
89	.
Position	Tokenization	UPOS	Head	Deprel
1	Debe	AUX	5	aux
2	de	ADP	5	case
3	ser	AUX	5	cop
4	la	DET	5	det
5	erótica	NOUN	0	root
6	de	ADP	8	case
7	la	DET	8	det
8	política	NOUN	5	nmod
9	,	PUNCT	14	punct
10	que	PRON	14	obj
11	el	DET	13	det
12	propio	DET	11	det
13	candidato	NOUN	14	nsubj
14	llevó	VERB	5	acl
15	al	ADP	16	case
16	extremo	NOUN	14	obl
17	en	ADP	18	case
18	Murcia	PROPN	14	obl
19	,	PUNCT	42	punct
20	donde	PRON	42	obl
21	,	PUNCT	22	punct
22	ironizando	VERB	42	advcl
23	sobre	ADP	25	case
24	la	DET	25	det
25	manera	NOUN	22	obj
26	con	ADP	28	case
27	la	DET	28	det
28	que	PRON	30	obl
29	Aznar	PROPN	30	nsubj
30	denomina	VERB	25	acl
31	al	ADP	32	case
32	pacto	NOUN	30	obj
33	PSOE-IU	PROPN	32	appos
34	(	PUNCT	37	punct
35	la	DET	37	det
36	"	PUNCT	37	punct
37	cosa	NOUN	25	appos
38	"	PUNCT	37	punct
39	)	PUNCT	37	punct
40	,	PUNCT	37	punct
41	Almunia	PROPN	42	nsubj
42	defendió	VERB	18	acl
43	la	DET	44	det
44	transparencia	NOUN	42	obj
45	de	ADP	47	case
46	ese	DET	47	det
47	acuerdo	NOUN	44	nmod
48	frente	NOUN	42	advmod
49	a	ADP	48	fixed
50	la	DET	51	det
51	falta	NOUN	48	obl
52	de	ADP	53	case
53	concreción	NOUN	51	nmod
54	de	ADP	56	case
55	los	DET	56	det
56	aliados	NOUN	51	nmod
57	de	ADP	58	case
58	Aznar	PROPN	56	nmod
59	:	PUNCT	78	punct
60	"	PUNCT	62	punct
61	¿	PUNCT	62	punct
62	Cómo	PRON	78	ccomp
63	es	AUX	62	cop
64	su	DET	65	det
65	cosa	NOUN	62	nsubj
66	?	PUNCT	62	punct
67	,	PUNCT	62	punct
68	¿	PUNCT	70	punct
69	dónde	PRON	70	obl
70	tienen	VERB	62	advcl
71	su	DET	72	det
72	cosa	NOUN	70	obj
73	?	PUNCT	70	punct
74	...	PUNCT	62	punct
75	"	PUNCT	62	punct
76	,	PUNCT	62	punct
77	fue	AUX	78	aux
78	preguntando	VERB	42	advcl
79	el	DET	80	det
80	candidato	NOUN	78	nsubj
81	socialista	ADJ	80	amod
82	a	ADP	84	case
83	un	DET	84	det
84	auditorio	NOUN	78	iobj
85	cada	DET	86	det
86	vez	NOUN	88	obl
87	más	ADV	88	advmod
88	divertido	ADJ	84	amod
89	.	PUNCT	5	punct