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, en su primer discurso como nuevo número dos del partido, vinculó su futuro político al de José María Aznar y ensalzó el trabajo de su antecesor, Francisco Alvarez-Cascos, cuya "entrega e inteligencia serán muy difíciles de igualar".
Postion	Tokenization
1	Arenas
2	,
3	en
4	su
5	primer
6	discurso
7	como
8	nuevo
9	número
10	dos
11	del
12	partido
13	,
14	vinculó
15	su
16	futuro
17	político
18	al
19	de
20	José
21	María
22	Aznar
23	y
24	ensalzó
25	el
26	trabajo
27	de
28	su
29	antecesor
30	,
31	Francisco
32	Alvarez-Cascos
33	,
34	cuya
35	"
36	entrega
37	e
38	inteligencia
39	serán
40	muy
41	difíciles
42	de
43	igualar
44	"
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Arenas	PROPN	14	nsubj
2	,	PUNCT	6	punct
3	en	ADP	6	case
4	su	DET	6	det
5	primer	ADJ	6	amod
6	discurso	NOUN	14	obl
7	como	SCONJ	9	mark
8	nuevo	ADJ	9	amod
9	número	NOUN	6	nmod
10	dos	NUM	9	appos
11	del	ADP	12	case
12	partido	NOUN	9	nmod
13	,	PUNCT	6	punct
14	vinculó	VERB	0	root
15	su	DET	16	det
16	futuro	NOUN	14	obj
17	político	ADJ	16	amod
18	al	ADP	20	case
19	de	ADP	20	case
20	José	PROPN	14	obj
21	María	PROPN	20	flat
22	Aznar	PROPN	20	flat
23	y	CCONJ	24	cc
24	ensalzó	VERB	14	conj
25	el	DET	26	det
26	trabajo	NOUN	24	obj
27	de	ADP	29	case
28	su	DET	29	det
29	antecesor	NOUN	26	nmod
30	,	PUNCT	31	punct
31	Francisco	PROPN	29	appos
32	Alvarez-Cascos	PROPN	31	flat
33	,	PUNCT	31	punct
34	cuya	PRON	36	nmod
35	"	PUNCT	36	punct
36	entrega	NOUN	41	nsubj
37	e	CCONJ	38	cc
38	inteligencia	NOUN	36	conj
39	serán	AUX	41	cop
40	muy	ADV	41	advmod
41	difíciles	ADJ	29	acl
42	de	ADP	43	mark
43	igualar	VERB	41	acl
44	"	PUNCT	41	punct
45	.	PUNCT	14	punct