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:
"Este es un hotel especial, familiar y que a su vez acoge a grandes personalidades. Les intento explicar que la situación de la calle es excepcional, transitoria, puntual y que estamos a punto de arreglarla", explica.
Postion	Tokenization
1	"
2	Este
3	es
4	un
5	hotel
6	especial
7	,
8	familiar
9	y
10	que
11	a
12	su
13	vez
14	acoge
15	a
16	grandes
17	personalidades
18	.
19	Les
20	intento
21	explicar
22	que
23	la
24	situación
25	de
26	la
27	calle
28	es
29	excepcional
30	,
31	transitoria
32	,
33	puntual
34	y
35	que
36	estamos
37	a
38	punto
39	de
40	arreglarla
41	arreglar
42	la
43	"
44	,
45	explica
46	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Este	PRON	5	nsubj
3	es	AUX	5	cop
4	un	DET	5	det
5	hotel	NOUN	44	ccomp
6	especial	ADJ	5	amod
7	,	PUNCT	8	punct
8	familiar	ADJ	6	amod
9	y	CCONJ	14	cc
10	que	PRON	14	nsubj
11	a	ADP	13	case
12	su	DET	13	det
13	vez	NOUN	14	obl
14	acoge	VERB	6	conj
15	a	ADP	17	case
16	grandes	ADJ	17	amod
17	personalidades	NOUN	14	obj
18	.	PUNCT	5	punct
19	Les	PRON	20	iobj
20	intento	VERB	5	advcl
21	explicar	VERB	20	ccomp
22	que	SCONJ	29	mark
23	la	DET	24	det
24	situación	NOUN	29	nsubj
25	de	ADP	27	case
26	la	DET	27	det
27	calle	NOUN	24	nmod
28	es	AUX	29	cop
29	excepcional	ADJ	21	ccomp
30	,	PUNCT	31	punct
31	transitoria	ADJ	29	conj
32	,	PUNCT	33	punct
33	puntual	ADJ	29	conj
34	y	CCONJ	36	cc
35	que	SCONJ	36	mark
36	estamos	VERB	29	conj
37	a	ADP	40	mark
38	punto	NOUN	37	fixed
39	de	ADP	37	fixed
40	arreglarla	_	None	_
41	arreglar	VERB	36	ccomp
42	la	PRON	40	obj
43	"	PUNCT	5	punct
44	,	PUNCT	5	punct
45	explica	VERB	0	root
46	.	PUNCT	44	punct