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:
El coordinador andaluz de IU y candidato a la presidencia de la Junta, Antonio Romero, aseguró en Málaga que remitirá sendos escritos a Cardenal y al fiscal jefe de la Audiencia Provincial de Sevilla, Alfredo Flores, para que investiguen si procede el pago de las ayudas, y recordó que ya se dirigió a ellos para pedir que se aclarara el retraso en el dictamen pericial por la rotura de la balsa que propició el desastre ecológico.
Postion	Tokenization
1	El
2	coordinador
3	andaluz
4	de
5	IU
6	y
7	candidato
8	a
9	la
10	presidencia
11	de
12	la
13	Junta
14	,
15	Antonio
16	Romero
17	,
18	aseguró
19	en
20	Málaga
21	que
22	remitirá
23	sendos
24	escritos
25	a
26	Cardenal
27	y
28	al
29	fiscal
30	jefe
31	de
32	la
33	Audiencia
34	Provincial
35	de
36	Sevilla
37	,
38	Alfredo
39	Flores
40	,
41	para
42	que
43	investiguen
44	si
45	procede
46	el
47	pago
48	de
49	las
50	ayudas
51	,
52	y
53	recordó
54	que
55	ya
56	se
57	dirigió
58	a
59	ellos
60	para
61	pedir
62	que
63	se
64	aclarara
65	el
66	retraso
67	en
68	el
69	dictamen
70	pericial
71	por
72	la
73	rotura
74	de
75	la
76	balsa
77	que
78	propició
79	el
80	desastre
81	ecológico
82	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	coordinador	NOUN	18	nsubj
3	andaluz	ADJ	2	amod
4	de	ADP	5	case
5	IU	PROPN	2	nmod
6	y	CCONJ	7	cc
7	candidato	NOUN	2	conj
8	a	ADP	10	case
9	la	DET	10	det
10	presidencia	NOUN	7	nmod
11	de	ADP	13	case
12	la	DET	13	det
13	Junta	PROPN	10	nmod
14	,	PUNCT	15	punct
15	Antonio	PROPN	2	appos
16	Romero	PROPN	15	flat
17	,	PUNCT	15	punct
18	aseguró	VERB	0	root
19	en	ADP	20	case
20	Málaga	PROPN	18	obl
21	que	SCONJ	22	mark
22	remitirá	VERB	18	ccomp
23	sendos	DET	24	det
24	escritos	NOUN	22	obj
25	a	ADP	26	case
26	Cardenal	PROPN	22	obj
27	y	CCONJ	29	cc
28	al	ADP	29	case
29	fiscal	NOUN	26	conj
30	jefe	NOUN	29	nmod
31	de	ADP	33	case
32	la	DET	33	det
33	Audiencia	PROPN	29	nmod
34	Provincial	PROPN	33	flat
35	de	ADP	36	case
36	Sevilla	PROPN	33	flat
37	,	PUNCT	38	punct
38	Alfredo	PROPN	29	appos
39	Flores	PROPN	38	flat
40	,	PUNCT	38	punct
41	para	ADP	43	mark
42	que	SCONJ	43	mark
43	investiguen	VERB	22	advcl
44	si	SCONJ	45	mark
45	procede	VERB	43	ccomp
46	el	DET	47	det
47	pago	NOUN	45	nsubj
48	de	ADP	50	case
49	las	DET	50	det
50	ayudas	NOUN	47	nmod
51	,	PUNCT	53	punct
52	y	CCONJ	53	cc
53	recordó	VERB	18	conj
54	que	SCONJ	57	mark
55	ya	ADV	57	advmod
56	se	PRON	57	expl:pv
57	dirigió	VERB	53	ccomp
58	a	ADP	59	case
59	ellos	PRON	57	obj
60	para	ADP	61	mark
61	pedir	VERB	57	advcl
62	que	SCONJ	64	mark
63	se	PRON	64	expl:pass
64	aclarara	VERB	61	ccomp
65	el	DET	66	det
66	retraso	NOUN	64	nsubj
67	en	ADP	69	case
68	el	DET	69	det
69	dictamen	NOUN	66	nmod
70	pericial	ADJ	69	amod
71	por	ADP	73	case
72	la	DET	73	det
73	rotura	NOUN	69	nmod
74	de	ADP	76	case
75	la	DET	76	det
76	balsa	NOUN	73	nmod
77	que	PRON	78	nsubj
78	propició	VERB	73	acl
79	el	DET	80	det
80	desastre	NOUN	78	obj
81	ecológico	ADJ	80	amod
82	.	PUNCT	18	punct