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:
Glass, autor de la ópera Corvo branco, que se representa estos días en el Teatro Real de Madrid, cree que el futuro del teatro musical depende de la composición de obras nuevas.
Postion	Tokenization
1	Glass
2	,
3	autor
4	de
5	la
6	ópera
7	Corvo
8	branco
9	,
10	que
11	se
12	representa
13	estos
14	días
15	en
16	el
17	Teatro
18	Real
19	de
20	Madrid
21	,
22	cree
23	que
24	el
25	futuro
26	del
27	teatro
28	musical
29	depende
30	de
31	la
32	composición
33	de
34	obras
35	nuevas
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Glass	PROPN	22	nsubj
2	,	PUNCT	3	punct
3	autor	NOUN	1	appos
4	de	ADP	6	case
5	la	DET	6	det
6	ópera	NOUN	3	nmod
7	Corvo	PROPN	6	appos
8	branco	PROPN	7	flat
9	,	PUNCT	12	punct
10	que	PRON	12	nsubj
11	se	PRON	12	expl:pass
12	representa	VERB	6	acl
13	estos	DET	14	det
14	días	NOUN	12	obl
15	en	ADP	17	case
16	el	DET	17	det
17	Teatro	PROPN	12	obl
18	Real	PROPN	17	flat
19	de	ADP	20	case
20	Madrid	PROPN	17	flat
21	,	PUNCT	12	punct
22	cree	VERB	0	root
23	que	SCONJ	29	mark
24	el	DET	25	det
25	futuro	NOUN	29	nsubj
26	del	ADP	27	case
27	teatro	NOUN	25	nmod
28	musical	ADJ	27	amod
29	depende	VERB	22	ccomp
30	de	ADP	32	case
31	la	DET	32	det
32	composición	NOUN	29	obj
33	de	ADP	34	case
34	obras	NOUN	32	nmod
35	nuevas	ADJ	34	amod
36	.	PUNCT	22	punct