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:
Raúl González Blanco, por el contrario, no saltó al césped de la Ciudad Deportiva y su recuperación parece ser una cuestión de estado.
Postion	Tokenization
1	Raúl
2	González
3	Blanco
4	,
5	por
6	el
7	contrario
8	,
9	no
10	saltó
11	al
12	césped
13	de
14	la
15	Ciudad
16	Deportiva
17	y
18	su
19	recuperación
20	parece
21	ser
22	una
23	cuestión
24	de
25	estado
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Raúl	PROPN	10	nsubj
2	González	PROPN	1	flat
3	Blanco	PROPN	1	flat
4	,	PUNCT	5	punct
5	por	ADP	10	advmod
6	el	DET	5	fixed
7	contrario	NOUN	5	fixed
8	,	PUNCT	5	punct
9	no	ADV	10	advmod
10	saltó	VERB	0	root
11	al	ADP	12	case
12	césped	NOUN	10	obl
13	de	ADP	15	case
14	la	DET	15	det
15	Ciudad	PROPN	12	nmod
16	Deportiva	PROPN	15	flat
17	y	CCONJ	20	cc
18	su	DET	19	det
19	recuperación	NOUN	20	nsubj
20	parece	VERB	10	conj
21	ser	AUX	23	cop
22	una	DET	23	det
23	cuestión	NOUN	20	xcomp
24	de	ADP	25	case
25	estado	NOUN	23	nmod
26	.	PUNCT	10	punct