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 público que asistió al estreno oficial el Martes acogió con discreción la obra de Sanchis Sinisterra, que cuenta con la escenografía de Montse Amenós y la dirección de Daniel Bohr.
Postion	Tokenization
1	El
2	público
3	que
4	asistió
5	al
6	estreno
7	oficial
8	el
9	Martes
10	acogió
11	con
12	discreción
13	la
14	obra
15	de
16	Sanchis
17	Sinisterra
18	,
19	que
20	cuenta
21	con
22	la
23	escenografía
24	de
25	Montse
26	Amenós
27	y
28	la
29	dirección
30	de
31	Daniel
32	Bohr
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	público	NOUN	10	nsubj
3	que	PRON	4	nsubj
4	asistió	VERB	2	acl
5	al	ADP	6	case
6	estreno	NOUN	4	obl
7	oficial	ADJ	6	amod
8	el	DET	9	det
9	Martes	NOUN	4	obl
10	acogió	VERB	0	root
11	con	ADP	12	case
12	discreción	NOUN	10	obl
13	la	DET	14	det
14	obra	NOUN	10	obj
15	de	ADP	16	case
16	Sanchis	PROPN	14	nmod
17	Sinisterra	PROPN	16	flat
18	,	PUNCT	20	punct
19	que	PRON	20	nsubj
20	cuenta	VERB	14	acl
21	con	ADP	23	case
22	la	DET	23	det
23	escenografía	NOUN	20	obj
24	de	ADP	25	case
25	Montse	PROPN	23	nmod
26	Amenós	PROPN	25	flat
27	y	CCONJ	29	cc
28	la	DET	29	det
29	dirección	NOUN	23	conj
30	de	ADP	31	case
31	Daniel	PROPN	29	nmod
32	Bohr	PROPN	31	flat
33	.	PUNCT	10	punct