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 Reyes inauguraron hoy la exposición dedicada a la obra de Antoni Tápies que abrirá sus puertas al público a partir de mañana en el Centro de Arte Reina Sofía.
Postion	Tokenization
1	Los
2	Reyes
3	inauguraron
4	hoy
5	la
6	exposición
7	dedicada
8	a
9	la
10	obra
11	de
12	Antoni
13	Tápies
14	que
15	abrirá
16	sus
17	puertas
18	al
19	público
20	a
21	partir
22	de
23	mañana
24	en
25	el
26	Centro
27	de
28	Arte
29	Reina
30	Sofía
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	Reyes	PROPN	3	nsubj
3	inauguraron	VERB	0	root
4	hoy	ADV	3	advmod
5	la	DET	6	det
6	exposición	NOUN	3	obj
7	dedicada	ADJ	6	amod
8	a	ADP	10	case
9	la	DET	10	det
10	obra	NOUN	7	obj
11	de	ADP	12	case
12	Antoni	PROPN	10	nmod
13	Tápies	PROPN	12	flat
14	que	PRON	15	nsubj
15	abrirá	VERB	6	acl
16	sus	DET	17	det
17	puertas	NOUN	15	obj
18	al	ADP	19	case
19	público	NOUN	15	obj
20	a	ADP	23	case
21	partir	NOUN	20	fixed
22	de	ADP	20	fixed
23	mañana	ADV	15	advmod
24	en	ADP	26	case
25	el	DET	26	det
26	Centro	PROPN	15	obl
27	de	ADP	28	case
28	Arte	PROPN	26	flat
29	Reina	PROPN	28	flat
30	Sofía	PROPN	28	flat
31	.	PUNCT	3	punct