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:
Desde esta noche hasta el día 13 se representará en el Teatre Romea La casa en obres, el montaje creado y protagonizado por Pep Tosar sobre la persona y la obra de Blai Bonet.
Postion	Tokenization
1	Desde
2	esta
3	noche
4	hasta
5	el
6	día
7	13
8	se
9	representará
10	en
11	el
12	Teatre
13	Romea
14	La
15	casa
16	en
17	obres
18	,
19	el
20	montaje
21	creado
22	y
23	protagonizado
24	por
25	Pep
26	Tosar
27	sobre
28	la
29	persona
30	y
31	la
32	obra
33	de
34	Blai
35	Bonet
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	esta	DET	3	det
3	noche	NOUN	9	obl
4	hasta	ADP	6	cc
5	el	DET	6	det
6	día	NOUN	3	conj
7	13	NUM	6	compound
8	se	PRON	9	expl:pass
9	representará	VERB	0	root
10	en	ADP	12	case
11	el	DET	12	det
12	Teatre	PROPN	9	obl
13	Romea	PROPN	12	flat
14	La	DET	15	det
15	casa	PROPN	9	nsubj
16	en	ADP	17	case
17	obres	PROPN	14	flat
18	,	PUNCT	20	punct
19	el	DET	20	det
20	montaje	NOUN	14	appos
21	creado	ADJ	20	amod
22	y	CCONJ	23	cc
23	protagonizado	ADJ	21	conj
24	por	ADP	25	case
25	Pep	PROPN	21	obj
26	Tosar	PROPN	25	flat
27	sobre	ADP	29	case
28	la	DET	29	det
29	persona	NOUN	20	nmod
30	y	CCONJ	32	cc
31	la	DET	32	det
32	obra	NOUN	29	conj
33	de	ADP	34	case
34	Blai	PROPN	29	nmod
35	Bonet	PROPN	34	flat
36	.	PUNCT	9	punct