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:
Una nave industrial que almacenaba derivados de plástico, en el número 61 de la calle de Gaspar Fàbregas, ardió ayer a mediodía y precisó de la intervención de 14 dotaciones de los bomberos.
Postion	Tokenization
1	Una
2	nave
3	industrial
4	que
5	almacenaba
6	derivados
7	de
8	plástico
9	,
10	en
11	el
12	número
13	61
14	de
15	la
16	calle
17	de
18	Gaspar
19	Fàbregas
20	,
21	ardió
22	ayer
23	a
24	mediodía
25	y
26	precisó
27	de
28	la
29	intervención
30	de
31	14
32	dotaciones
33	de
34	los
35	bomberos
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	nave	NOUN	21	nsubj
3	industrial	ADJ	2	amod
4	que	PRON	5	nsubj
5	almacenaba	VERB	2	acl
6	derivados	NOUN	5	obj
7	de	ADP	8	case
8	plástico	NOUN	6	nmod
9	,	PUNCT	12	punct
10	en	ADP	12	case
11	el	DET	12	det
12	número	NOUN	5	obl
13	61	NUM	12	appos
14	de	ADP	16	case
15	la	DET	16	det
16	calle	NOUN	12	nmod
17	de	ADP	18	case
18	Gaspar	PROPN	16	nmod
19	Fàbregas	PROPN	18	flat
20	,	PUNCT	12	punct
21	ardió	VERB	0	root
22	ayer	ADV	21	advmod
23	a	ADP	22	advmod
24	mediodía	NOUN	23	fixed
25	y	CCONJ	26	cc
26	precisó	VERB	21	conj
27	de	ADP	29	case
28	la	DET	29	det
29	intervención	NOUN	26	obj
30	de	ADP	32	case
31	14	NUM	32	nummod
32	dotaciones	NOUN	29	nmod
33	de	ADP	35	case
34	los	DET	35	det
35	bomberos	NOUN	32	nmod
36	.	PUNCT	21	punct