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 establecimiento hotelero ha preparado una serie de actividades que comenzarán el 30 de diciembre y finalizarán el 2 de enero, incluyendo una visita a lo más singular de Barcelona, sesiones de cines, paseos muy especiales en bicicleta, una misa en la basílica de Santa Maria del Mar y, por supuesto, la gala de Fin de Año, con ambientes diferenciados para adultos, jóvenes y niños.
Postion	Tokenization
1	El
2	establecimiento
3	hotelero
4	ha
5	preparado
6	una
7	serie
8	de
9	actividades
10	que
11	comenzarán
12	el
13	30
14	de
15	diciembre
16	y
17	finalizarán
18	el
19	2
20	de
21	enero
22	,
23	incluyendo
24	una
25	visita
26	a
27	lo
28	más
29	singular
30	de
31	Barcelona
32	,
33	sesiones
34	de
35	cines
36	,
37	paseos
38	muy
39	especiales
40	en
41	bicicleta
42	,
43	una
44	misa
45	en
46	la
47	basílica
48	de
49	Santa
50	Maria
51	del
52	Mar
53	y
54	,
55	por
56	supuesto
57	,
58	la
59	gala
60	de
61	Fin
62	de
63	Año
64	,
65	con
66	ambientes
67	diferenciados
68	para
69	adultos
70	,
71	jóvenes
72	y
73	niños
74	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	establecimiento	NOUN	5	nsubj
3	hotelero	ADJ	2	amod
4	ha	AUX	5	aux
5	preparado	VERB	0	root
6	una	DET	7	det
7	serie	NOUN	5	obj
8	de	ADP	9	case
9	actividades	NOUN	7	nmod
10	que	PRON	11	nsubj
11	comenzarán	VERB	9	acl
12	el	DET	13	det
13	30	NUM	11	obl
14	de	ADP	15	case
15	diciembre	NOUN	13	compound
16	y	CCONJ	17	cc
17	finalizarán	VERB	11	conj
18	el	DET	19	det
19	2	NUM	17	obl
20	de	ADP	21	case
21	enero	NOUN	19	compound
22	,	PUNCT	23	punct
23	incluyendo	VERB	9	acl
24	una	DET	25	det
25	visita	NOUN	23	obj
26	a	ADP	29	case
27	lo	PRON	29	det
28	más	ADV	29	advmod
29	singular	ADJ	25	amod
30	de	ADP	31	case
31	Barcelona	PROPN	29	nmod
32	,	PUNCT	33	punct
33	sesiones	NOUN	25	appos
34	de	ADP	35	case
35	cines	NOUN	33	nmod
36	,	PUNCT	37	punct
37	paseos	NOUN	25	appos
38	muy	ADV	39	advmod
39	especiales	ADJ	37	amod
40	en	ADP	41	case
41	bicicleta	NOUN	37	nmod
42	,	PUNCT	44	punct
43	una	DET	44	det
44	misa	NOUN	25	appos
45	en	ADP	47	case
46	la	DET	47	det
47	basílica	NOUN	44	nmod
48	de	ADP	49	case
49	Santa	PROPN	47	nmod
50	Maria	PROPN	49	flat
51	del	ADP	52	case
52	Mar	PROPN	49	flat
53	y	CCONJ	59	cc
54	,	PUNCT	55	punct
55	por	ADP	59	advmod
56	supuesto	NOUN	55	fixed
57	,	PUNCT	55	punct
58	la	DET	59	det
59	gala	NOUN	25	conj
60	de	ADP	61	case
61	Fin	PROPN	59	nmod
62	de	ADP	63	case
63	Año	PROPN	61	flat
64	,	PUNCT	66	punct
65	con	ADP	66	case
66	ambientes	NOUN	59	nmod
67	diferenciados	ADJ	66	amod
68	para	ADP	69	case
69	adultos	NOUN	66	nmod
70	,	PUNCT	71	punct
71	jóvenes	NOUN	69	conj
72	y	CCONJ	73	cc
73	niños	NOUN	69	conj
74	.	PUNCT	5	punct