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 resto de candidatos a las próximas elecciones catalanas se repartieron así las apariciones en la televisión pública catalana: Rafael Ribó, de Iniciativa per Catalunya-Verds, acaparó 11 minutos y 29 segundos; Alberto Fernández Díaz, presidenciable del PP, 11 minutos exactos, mientras que el de ERC, Josep Lluís Carod-Rovira, ocupó nueve minutos de pantalla.
Postion	Tokenization
1	El
2	resto
3	de
4	candidatos
5	a
6	las
7	próximas
8	elecciones
9	catalanas
10	se
11	repartieron
12	así
13	las
14	apariciones
15	en
16	la
17	televisión
18	pública
19	catalana
20	:
21	Rafael
22	Ribó
23	,
24	de
25	Iniciativa
26	per
27	Catalunya-Verds
28	,
29	acaparó
30	11
31	minutos
32	y
33	29
34	segundos
35	;
36	Alberto
37	Fernández
38	Díaz
39	,
40	presidenciable
41	del
42	PP
43	,
44	11
45	minutos
46	exactos
47	,
48	mientras
49	que
50	el
51	de
52	ERC
53	,
54	Josep
55	Lluís
56	Carod-Rovira
57	,
58	ocupó
59	nueve
60	minutos
61	de
62	pantalla
63	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	resto	NOUN	11	nsubj
3	de	ADP	4	case
4	candidatos	NOUN	2	nmod
5	a	ADP	8	case
6	las	DET	8	det
7	próximas	ADJ	8	amod
8	elecciones	NOUN	4	nmod
9	catalanas	ADJ	8	amod
10	se	PRON	11	iobj
11	repartieron	VERB	0	root
12	así	ADV	11	advmod
13	las	DET	14	det
14	apariciones	NOUN	11	obj
15	en	ADP	17	case
16	la	DET	17	det
17	televisión	NOUN	14	nmod
18	pública	ADJ	17	amod
19	catalana	ADJ	17	amod
20	:	PUNCT	11	punct
21	Rafael	PROPN	29	nsubj
22	Ribó	PROPN	21	flat
23	,	PUNCT	25	punct
24	de	ADP	25	case
25	Iniciativa	PROPN	21	nmod
26	per	ADP	27	case
27	Catalunya-Verds	PROPN	25	flat
28	,	PUNCT	25	punct
29	acaparó	VERB	11	advcl
30	11	NUM	31	nummod
31	minutos	NOUN	29	obj
32	y	CCONJ	34	cc
33	29	NUM	34	nummod
34	segundos	NOUN	31	conj
35	;	PUNCT	36	punct
36	Alberto	PROPN	29	obl
37	Fernández	PROPN	36	flat
38	Díaz	PROPN	36	flat
39	,	PUNCT	40	punct
40	presidenciable	ADJ	36	amod
41	del	ADP	42	case
42	PP	PROPN	40	nmod
43	,	PUNCT	40	punct
44	11	NUM	45	nummod
45	minutos	NOUN	36	appos
46	exactos	ADJ	45	amod
47	,	PUNCT	36	punct
48	mientras	CCONJ	58	cc
49	que	SCONJ	48	fixed
50	el	DET	58	det
51	de	ADP	50	case
52	ERC	PROPN	50	nsubj
53	,	PUNCT	54	punct
54	Josep	PROPN	50	nmod
55	Lluís	PROPN	54	flat
56	Carod-Rovira	PROPN	54	flat
57	,	PUNCT	54	punct
58	ocupó	VERB	29	conj
59	nueve	NUM	60	nummod
60	minutos	NOUN	58	obj
61	de	ADP	62	case
62	pantalla	NOUN	60	nmod
63	.	PUNCT	11	punct