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:
Por otra parte, Subirá ha confirmado que durante la pasada Semana Santa Cataluña ha incrementado en un 29% el número de turistas recibidos respecto del año anterior, mientras que la ocupación hotelera ha alcanzado el 90% y, en algunas zonas, hasta el 95%.
Postion	Tokenization
1	Por
2	otra
3	parte
4	,
5	Subirá
6	ha
7	confirmado
8	que
9	durante
10	la
11	pasada
12	Semana
13	Santa
14	Cataluña
15	ha
16	incrementado
17	en
18	un
19	29%
20	el
21	número
22	de
23	turistas
24	recibidos
25	respecto
26	del
27	año
28	anterior
29	,
30	mientras
31	que
32	la
33	ocupación
34	hotelera
35	ha
36	alcanzado
37	el
38	90%
39	y
40	,
41	en
42	algunas
43	zonas
44	,
45	hasta
46	el
47	95%
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	otra	DET	3	det
3	parte	NOUN	7	obl
4	,	PUNCT	3	punct
5	Subirá	PROPN	7	nsubj
6	ha	AUX	7	aux
7	confirmado	VERB	30	parataxis
8	que	SCONJ	16	mark
9	durante	ADP	12	case
10	la	DET	12	det
11	pasada	ADJ	12	amod
12	Semana	PROPN	16	obl
13	Santa	PROPN	12	flat
14	Cataluña	PROPN	16	nsubj
15	ha	AUX	16	aux
16	incrementado	VERB	7	ccomp
17	en	ADP	19	case
18	un	DET	19	det
19	29%	SYM	16	advmod
20	el	DET	21	det
21	número	NOUN	16	obj
22	de	ADP	23	case
23	turistas	NOUN	21	nmod
24	recibidos	ADJ	23	amod
25	respecto	NOUN	27	case
26	del	ADP	25	fixed
27	año	NOUN	16	obl
28	anterior	ADJ	27	amod
29	,	PUNCT	30	punct
30	mientras	CCONJ	0	root
31	que	SCONJ	30	fixed
32	la	DET	33	det
33	ocupación	NOUN	36	nsubj
34	hotelera	ADJ	33	amod
35	ha	AUX	36	aux
36	alcanzado	VERB	30	parataxis
37	el	DET	38	det
38	90%	SYM	36	obj
39	y	CCONJ	47	cc
40	,	PUNCT	43	punct
41	en	ADP	43	case
42	algunas	DET	43	det
43	zonas	NOUN	47	nmod
44	,	PUNCT	43	punct
45	hasta	ADV	47	advmod
46	el	DET	47	det
47	95%	SYM	36	conj
48	.	PUNCT	30	punct