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:
La policía considera que la explosión de gas que originó el derrumbe parcial del edificio de Horta el pasado miércoles fue provocada.
Postion	Tokenization
1	La
2	policía
3	considera
4	que
5	la
6	explosión
7	de
8	gas
9	que
10	originó
11	el
12	derrumbe
13	parcial
14	del
15	edificio
16	de
17	Horta
18	el
19	pasado
20	miércoles
21	fue
22	provocada
23	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	3	nsubj
3	considera	VERB	0	root
4	que	SCONJ	22	mark
5	la	DET	6	det
6	explosión	NOUN	22	nsubj
7	de	ADP	8	case
8	gas	NOUN	6	nmod
9	que	PRON	10	nsubj
10	originó	VERB	6	acl
11	el	DET	12	det
12	derrumbe	NOUN	10	obj
13	parcial	ADJ	12	amod
14	del	ADP	15	case
15	edificio	NOUN	12	nmod
16	de	ADP	17	case
17	Horta	PROPN	15	nmod
18	el	DET	20	det
19	pasado	ADJ	20	amod
20	miércoles	NOUN	22	obl
21	fue	AUX	22	aux
22	provocada	VERB	3	ccomp
23	.	PUNCT	3	punct