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 local de Onda Cero en Vitoria quedó arrasado al arder los cócteles molotov que arrojaron tres encapuchados hacia la medianoche.
Postion	Tokenization
1	El
2	local
3	de
4	Onda
5	Cero
6	en
7	Vitoria
8	quedó
9	arrasado
10	al
11	arder
12	los
13	cócteles
14	molotov
15	que
16	arrojaron
17	tres
18	encapuchados
19	hacia
20	la
21	medianoche
22	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	local	NOUN	8	nsubj
3	de	ADP	4	case
4	Onda	PROPN	2	nmod
5	Cero	NUM	4	nummod
6	en	ADP	7	case
7	Vitoria	PROPN	2	nmod
8	quedó	VERB	0	root
9	arrasado	ADJ	8	obj
10	al	ADP	11	mark
11	arder	VERB	8	advcl
12	los	DET	13	det
13	cócteles	NOUN	11	nsubj
14	molotov	NOUN	13	compound
15	que	PRON	16	obj
16	arrojaron	VERB	13	acl
17	tres	NUM	18	nummod
18	encapuchados	NOUN	16	nsubj
19	hacia	ADP	21	case
20	la	DET	21	det
21	medianoche	NOUN	16	obl
22	.	PUNCT	8	punct