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 Navarro, subdelegado del Gobierno en Tarragona, dijo ayer que las 700 hectáreas del recinto podrán ser compradas por la Generalitat, la Diputació de Tarragona o el Consell Comarcal del Baix Camp.
Postion	Tokenization
1	Raúl
2	Navarro
3	,
4	subdelegado
5	del
6	Gobierno
7	en
8	Tarragona
9	,
10	dijo
11	ayer
12	que
13	las
14	700
15	hectáreas
16	del
17	recinto
18	podrán
19	ser
20	compradas
21	por
22	la
23	Generalitat
24	,
25	la
26	Diputació
27	de
28	Tarragona
29	o
30	el
31	Consell
32	Comarcal
33	del
34	Baix
35	Camp
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Raúl	PROPN	10	nsubj
2	Navarro	PROPN	1	flat
3	,	PUNCT	4	punct
4	subdelegado	NOUN	1	appos
5	del	ADP	6	case
6	Gobierno	PROPN	4	nmod
7	en	ADP	8	case
8	Tarragona	PROPN	4	nmod
9	,	PUNCT	4	punct
10	dijo	VERB	0	root
11	ayer	ADV	10	advmod
12	que	SCONJ	20	mark
13	las	DET	14	det
14	700	NUM	15	nummod
15	hectáreas	NOUN	20	nsubj
16	del	ADP	17	case
17	recinto	NOUN	15	nmod
18	podrán	AUX	20	aux
19	ser	AUX	20	aux
20	compradas	VERB	10	ccomp
21	por	ADP	23	case
22	la	DET	23	det
23	Generalitat	PROPN	20	obj
24	,	PUNCT	26	punct
25	la	DET	26	det
26	Diputació	PROPN	23	flat
27	de	ADP	28	case
28	Tarragona	PROPN	26	flat
29	o	CCONJ	31	cc
30	el	DET	31	det
31	Consell	PROPN	23	conj
32	Comarcal	PROPN	31	flat
33	del	ADP	34	case
34	Baix	ADJ	31	flat
35	Camp	PROPN	31	flat
36	.	PUNCT	10	punct