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:
Ruidos y sonidos que reverberan electrónicamente se funden y confunden en una sinfonía que no olvida la palabra, magníficamente salida de la voz de un único y excepcional actor: André Wilms.
Postion	Tokenization
1	Ruidos
2	y
3	sonidos
4	que
5	reverberan
6	electrónicamente
7	se
8	funden
9	y
10	confunden
11	en
12	una
13	sinfonía
14	que
15	no
16	olvida
17	la
18	palabra
19	,
20	magníficamente
21	salida
22	de
23	la
24	voz
25	de
26	un
27	único
28	y
29	excepcional
30	actor
31	:
32	André
33	Wilms
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Ruidos	NOUN	8	nsubj
2	y	CCONJ	3	cc
3	sonidos	NOUN	1	conj
4	que	PRON	5	nsubj
5	reverberan	VERB	1	acl
6	electrónicamente	ADV	5	advmod
7	se	PRON	8	expl:pv
8	funden	VERB	0	root
9	y	CCONJ	10	cc
10	confunden	VERB	8	conj
11	en	ADP	13	case
12	una	DET	13	det
13	sinfonía	NOUN	8	obl
14	que	PRON	16	nsubj
15	no	ADV	16	advmod
16	olvida	VERB	13	acl
17	la	DET	18	det
18	palabra	NOUN	16	obj
19	,	PUNCT	21	punct
20	magníficamente	ADV	21	advmod
21	salida	ADJ	18	amod
22	de	ADP	24	case
23	la	DET	24	det
24	voz	NOUN	21	obl
25	de	ADP	30	case
26	un	DET	30	det
27	único	ADJ	30	amod
28	y	CCONJ	29	cc
29	excepcional	ADJ	27	conj
30	actor	NOUN	24	nmod
31	:	PUNCT	32	punct
32	André	PROPN	30	appos
33	Wilms	PROPN	32	flat
34	.	PUNCT	8	punct