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:
De hecho, su actuación en Garatge fue de las más concurridas y ni siquiera un sonido enemigo impidió que saliera de la plaza entre aplausos.
Postion	Tokenization
1	De
2	hecho
3	,
4	su
5	actuación
6	en
7	Garatge
8	fue
9	de
10	las
11	más
12	concurridas
13	y
14	ni
15	siquiera
16	un
17	sonido
18	enemigo
19	impidió
20	que
21	saliera
22	de
23	la
24	plaza
25	entre
26	aplausos
27	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	12	advmod
2	hecho	NOUN	1	fixed
3	,	PUNCT	1	punct
4	su	DET	5	det
5	actuación	NOUN	12	nsubj
6	en	ADP	7	case
7	Garatge	PROPN	5	nmod
8	fue	AUX	12	cop
9	de	ADP	12	case
10	las	DET	12	det
11	más	ADV	12	advmod
12	concurridas	ADJ	0	root
13	y	CCONJ	19	cc
14	ni	CCONJ	17	advmod
15	siquiera	NOUN	14	fixed
16	un	DET	17	det
17	sonido	NOUN	19	nsubj
18	enemigo	ADJ	17	amod
19	impidió	VERB	12	conj
20	que	SCONJ	21	mark
21	saliera	VERB	19	ccomp
22	de	ADP	24	case
23	la	DET	24	det
24	plaza	NOUN	21	obl
25	entre	ADP	26	case
26	aplausos	NOUN	21	obl
27	.	PUNCT	12	punct