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:
Además, Subirá ha dicho que la Generalitat prevé una buena temporada turística para el próximo verano y ha resaltado la introducción de nuevos productos que se complementan a los ya existentes.
Postion	Tokenization
1	Además
2	,
3	Subirá
4	ha
5	dicho
6	que
7	la
8	Generalitat
9	prevé
10	una
11	buena
12	temporada
13	turística
14	para
15	el
16	próximo
17	verano
18	y
19	ha
20	resaltado
21	la
22	introducción
23	de
24	nuevos
25	productos
26	que
27	se
28	complementan
29	a
30	los
31	ya
32	existentes
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	5	advmod
2	,	PUNCT	1	punct
3	Subirá	PROPN	5	nsubj
4	ha	AUX	5	aux
5	dicho	VERB	0	root
6	que	SCONJ	9	mark
7	la	DET	8	det
8	Generalitat	PROPN	9	nsubj
9	prevé	VERB	5	ccomp
10	una	DET	12	det
11	buena	ADJ	12	amod
12	temporada	NOUN	9	obj
13	turística	ADJ	12	amod
14	para	ADP	17	case
15	el	DET	17	det
16	próximo	ADJ	17	amod
17	verano	NOUN	9	obl
18	y	CCONJ	20	cc
19	ha	AUX	20	aux
20	resaltado	VERB	5	conj
21	la	DET	22	det
22	introducción	NOUN	20	obj
23	de	ADP	25	case
24	nuevos	ADJ	25	amod
25	productos	NOUN	22	nmod
26	que	PRON	28	nsubj
27	se	PRON	28	expl:pass
28	complementan	VERB	25	acl
29	a	ADP	32	case
30	los	DET	32	det
31	ya	ADV	32	advmod
32	existentes	ADJ	28	advmod
33	.	PUNCT	5	punct