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:
Los principales destinos turísticos de Catalunya cuentan con un lleno casi absoluto en el mes de agosto, y entre un 80% y un 99% de ocupación hotelera en el mes de julio, según las previsiones de la Generalitat.
Postion	Tokenization
1	Los
2	principales
3	destinos
4	turísticos
5	de
6	Catalunya
7	cuentan
8	con
9	un
10	lleno
11	casi
12	absoluto
13	en
14	el
15	mes
16	de
17	agosto
18	,
19	y
20	entre
21	un
22	80%
23	y
24	un
25	99%
26	de
27	ocupación
28	hotelera
29	en
30	el
31	mes
32	de
33	julio
34	,
35	según
36	las
37	previsiones
38	de
39	la
40	Generalitat
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	principales	ADJ	3	amod
3	destinos	NOUN	7	nsubj
4	turísticos	ADJ	3	amod
5	de	ADP	6	case
6	Catalunya	PROPN	3	nmod
7	cuentan	VERB	0	root
8	con	ADP	10	case
9	un	DET	10	det
10	lleno	NOUN	7	obj
11	casi	ADV	12	advmod
12	absoluto	ADJ	10	amod
13	en	ADP	15	case
14	el	DET	15	det
15	mes	NOUN	10	nmod
16	de	ADP	17	case
17	agosto	NOUN	15	compound
18	,	PUNCT	22	punct
19	y	CCONJ	22	cc
20	entre	ADP	22	case
21	un	DET	22	det
22	80%	SYM	10	conj
23	y	CCONJ	25	cc
24	un	DET	25	det
25	99%	SYM	22	conj
26	de	ADP	27	case
27	ocupación	NOUN	22	nmod
28	hotelera	ADJ	27	amod
29	en	ADP	31	case
30	el	DET	31	det
31	mes	NOUN	27	nmod
32	de	ADP	33	case
33	julio	NOUN	31	compound
34	,	PUNCT	37	punct
35	según	ADP	37	case
36	las	DET	37	det
37	previsiones	NOUN	7	obl
38	de	ADP	40	case
39	la	DET	40	det
40	Generalitat	PROPN	37	nmod
41	.	PUNCT	7	punct