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:
En Alcalí (Alicante), finalmente, un cigarrillo pudo ser la causa de otro fuego que arrasó 200 hectáreas, informaron a la agencia Efe fuentes de la Generalitat Valenciana.
Postion	Tokenization
1	En
2	Alcalí
3	(
4	Alicante
5	)
6	,
7	finalmente
8	,
9	un
10	cigarrillo
11	pudo
12	ser
13	la
14	causa
15	de
16	otro
17	fuego
18	que
19	arrasó
20	200
21	hectáreas
22	,
23	informaron
24	a
25	la
26	agencia
27	Efe
28	fuentes
29	de
30	la
31	Generalitat
32	Valenciana
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Alcalí	PROPN	14	obl
3	(	PUNCT	4	punct
4	Alicante	PROPN	2	flat
5	)	PUNCT	4	punct
6	,	PUNCT	7	punct
7	finalmente	ADV	14	advmod
8	,	PUNCT	7	punct
9	un	DET	10	det
10	cigarrillo	NOUN	14	nsubj
11	pudo	AUX	14	aux
12	ser	AUX	14	cop
13	la	DET	14	det
14	causa	NOUN	23	xcomp
15	de	ADP	17	case
16	otro	DET	17	det
17	fuego	NOUN	14	nmod
18	que	PRON	19	nsubj
19	arrasó	VERB	17	acl
20	200	NUM	21	nummod
21	hectáreas	NOUN	19	obj
22	,	PUNCT	14	punct
23	informaron	VERB	0	root
24	a	ADP	26	case
25	la	DET	26	det
26	agencia	NOUN	23	iobj
27	Efe	PROPN	26	appos
28	fuentes	NOUN	23	nsubj
29	de	ADP	31	case
30	la	DET	31	det
31	Generalitat	PROPN	28	nmod
32	Valenciana	PROPN	31	flat
33	.	PUNCT	23	punct