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:
El Hotel Arts de Barcelona presentó ayer su programa Millennium Experience, una propuesta insólita para recibir el año 2000 con algo más que una simple cena de Nochevieja.
Postion	Tokenization
1	El
2	Hotel
3	Arts
4	de
5	Barcelona
6	presentó
7	ayer
8	su
9	programa
10	Millennium
11	Experience
12	,
13	una
14	propuesta
15	insólita
16	para
17	recibir
18	el
19	año
20	2000
21	con
22	algo
23	más
24	que
25	una
26	simple
27	cena
28	de
29	Nochevieja
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Hotel	PROPN	6	nsubj
3	Arts	PROPN	2	flat
4	de	ADP	5	case
5	Barcelona	PROPN	2	nmod
6	presentó	VERB	0	root
7	ayer	ADV	6	advmod
8	su	DET	9	det
9	programa	NOUN	6	obj
10	Millennium	PROPN	9	appos
11	Experience	PROPN	10	flat
12	,	PUNCT	14	punct
13	una	DET	14	det
14	propuesta	NOUN	9	appos
15	insólita	ADJ	14	amod
16	para	ADP	17	mark
17	recibir	VERB	14	acl
18	el	DET	19	det
19	año	NOUN	17	obj
20	2000	NUM	19	compound
21	con	ADP	22	case
22	algo	PRON	17	obl
23	más	ADV	22	advmod
24	que	SCONJ	27	mark
25	una	DET	27	det
26	simple	ADJ	27	amod
27	cena	NOUN	22	nmod
28	de	ADP	29	case
29	Nochevieja	PROPN	27	nmod
30	.	PUNCT	6	punct