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 secretario general del Partido Popular, Javier Arenas, marcó ayer el "punto de salida" de la campaña de las elecciones autonómicas con una clara instrucción: cierre de filas en torno al presidente y candidato del PP catalán, Alberto Fernández Díaz, para reforzar su imagen de liderazgo.
Postion	Tokenization
1	El
2	secretario
3	general
4	del
5	Partido
6	Popular
7	,
8	Javier
9	Arenas
10	,
11	marcó
12	ayer
13	el
14	"
15	punto
16	de
17	salida
18	"
19	de
20	la
21	campaña
22	de
23	las
24	elecciones
25	autonómicas
26	con
27	una
28	clara
29	instrucción
30	:
31	cierre
32	de
33	filas
34	en
35	torno
36	al
37	presidente
38	y
39	candidato
40	del
41	PP
42	catalán
43	,
44	Alberto
45	Fernández
46	Díaz
47	,
48	para
49	reforzar
50	su
51	imagen
52	de
53	liderazgo
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	11	nsubj
3	general	ADJ	2	amod
4	del	ADP	5	case
5	Partido	PROPN	2	nmod
6	Popular	PROPN	5	flat
7	,	PUNCT	8	punct
8	Javier	PROPN	2	appos
9	Arenas	PROPN	8	flat
10	,	PUNCT	8	punct
11	marcó	VERB	0	root
12	ayer	ADV	11	advmod
13	el	DET	15	det
14	"	PUNCT	15	punct
15	punto	NOUN	11	obj
16	de	ADP	17	case
17	salida	NOUN	15	nmod
18	"	PUNCT	15	punct
19	de	ADP	21	case
20	la	DET	21	det
21	campaña	NOUN	15	nmod
22	de	ADP	24	case
23	las	DET	24	det
24	elecciones	NOUN	21	nmod
25	autonómicas	ADJ	24	amod
26	con	ADP	29	case
27	una	DET	29	det
28	clara	ADJ	29	amod
29	instrucción	NOUN	11	obl
30	:	PUNCT	31	punct
31	cierre	NOUN	29	appos
32	de	ADP	33	case
33	filas	NOUN	31	nmod
34	en	ADP	37	case
35	torno	NOUN	34	fixed
36	al	ADP	34	fixed
37	presidente	NOUN	31	nmod
38	y	CCONJ	39	cc
39	candidato	NOUN	37	conj
40	del	ADP	41	case
41	PP	PROPN	39	nmod
42	catalán	ADJ	41	amod
43	,	PUNCT	44	punct
44	Alberto	PROPN	37	appos
45	Fernández	PROPN	44	flat
46	Díaz	PROPN	44	flat
47	,	PUNCT	44	punct
48	para	ADP	49	mark
49	reforzar	VERB	31	acl
50	su	DET	51	det
51	imagen	NOUN	49	obj
52	de	ADP	53	case
53	liderazgo	NOUN	51	nmod
54	.	PUNCT	11	punct