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:
Arenas destacó ayer que el coordinador electoral será el secretario general del PP catalán, Rafael Luna, y que el comité de estrategia estará formado por miembros del PP catalán propuestos por Fernández Díaz.
Postion	Tokenization
1	Arenas
2	destacó
3	ayer
4	que
5	el
6	coordinador
7	electoral
8	será
9	el
10	secretario
11	general
12	del
13	PP
14	catalán
15	,
16	Rafael
17	Luna
18	,
19	y
20	que
21	el
22	comité
23	de
24	estrategia
25	estará
26	formado
27	por
28	miembros
29	del
30	PP
31	catalán
32	propuestos
33	por
34	Fernández
35	Díaz
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Arenas	PROPN	2	nsubj
2	destacó	VERB	0	root
3	ayer	ADV	2	advmod
4	que	SCONJ	10	mark
5	el	DET	6	det
6	coordinador	NOUN	10	nsubj
7	electoral	ADJ	6	amod
8	será	AUX	10	cop
9	el	DET	10	det
10	secretario	NOUN	2	ccomp
11	general	ADJ	10	amod
12	del	ADP	13	case
13	PP	PROPN	10	nmod
14	catalán	ADJ	13	amod
15	,	PUNCT	16	punct
16	Rafael	PROPN	10	appos
17	Luna	PROPN	16	flat
18	,	PUNCT	16	punct
19	y	CCONJ	26	cc
20	que	SCONJ	26	mark
21	el	DET	22	det
22	comité	NOUN	26	nsubj
23	de	ADP	24	case
24	estrategia	NOUN	22	nmod
25	estará	AUX	26	cop
26	formado	ADJ	10	conj
27	por	ADP	28	case
28	miembros	NOUN	26	obj
29	del	ADP	30	case
30	PP	PROPN	28	nmod
31	catalán	ADJ	30	amod
32	propuestos	ADJ	28	amod
33	por	ADP	34	case
34	Fernández	PROPN	32	obj
35	Díaz	PROPN	34	flat
36	.	PUNCT	2	punct