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:
Muchos escaparates de las tiendas y de los centros comerciales fueron tapados con planchas de madera tras la ruptura de sus lunas la víspera.
Postion	Tokenization
1	Muchos
2	escaparates
3	de
4	las
5	tiendas
6	y
7	de
8	los
9	centros
10	comerciales
11	fueron
12	tapados
13	con
14	planchas
15	de
16	madera
17	tras
18	la
19	ruptura
20	de
21	sus
22	lunas
23	la
24	víspera
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Muchos	DET	2	det
2	escaparates	NOUN	12	nsubj
3	de	ADP	5	case
4	las	DET	5	det
5	tiendas	NOUN	2	nmod
6	y	CCONJ	9	cc
7	de	ADP	9	case
8	los	DET	9	det
9	centros	NOUN	5	conj
10	comerciales	ADJ	9	amod
11	fueron	AUX	12	aux
12	tapados	VERB	0	root
13	con	ADP	14	case
14	planchas	NOUN	12	obl
15	de	ADP	16	case
16	madera	NOUN	14	nmod
17	tras	ADP	19	case
18	la	DET	19	det
19	ruptura	NOUN	12	obl
20	de	ADP	22	case
21	sus	DET	22	det
22	lunas	NOUN	19	nmod
23	la	DET	24	det
24	víspera	NOUN	19	appos
25	.	PUNCT	12	punct