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:
Según Fernández Díaz, la estrategia de CiU de dejar abiertas las puertas tanto al acuerdo con el PP como con los socialistas no hace más que beneficiar a los populares.
Postion	Tokenization
1	Según
2	Fernández
3	Díaz
4	,
5	la
6	estrategia
7	de
8	CiU
9	de
10	dejar
11	abiertas
12	las
13	puertas
14	tanto
15	al
16	acuerdo
17	con
18	el
19	PP
20	como
21	con
22	los
23	socialistas
24	no
25	hace
26	más
27	que
28	beneficiar
29	a
30	los
31	populares
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Fernández	PROPN	25	obl
3	Díaz	PROPN	2	flat
4	,	PUNCT	2	punct
5	la	DET	6	det
6	estrategia	NOUN	25	nsubj
7	de	ADP	8	case
8	CiU	PROPN	6	nmod
9	de	ADP	10	mark
10	dejar	VERB	6	acl
11	abiertas	ADJ	10	xcomp
12	las	DET	13	det
13	puertas	NOUN	10	obj
14	tanto	ADV	16	cc
15	al	ADP	16	case
16	acuerdo	NOUN	10	obl
17	con	ADP	19	case
18	el	DET	19	det
19	PP	PROPN	16	nmod
20	como	CCONJ	23	cc
21	con	ADP	23	case
22	los	DET	23	det
23	socialistas	NOUN	16	conj
24	no	ADV	25	advmod
25	hace	VERB	0	root
26	más	ADV	28	advmod
27	que	SCONJ	26	fixed
28	beneficiar	VERB	25	xcomp
29	a	ADP	31	case
30	los	DET	31	det
31	populares	NOUN	28	obj
32	.	PUNCT	25	punct