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:
A pesar de que las llamas no llegaron a alcanzar a ninguna vivienda ni a los hoteles de la zona, que durante 26 horas permanecieron sin fluido eléctrico ni teléfono como medida preventiva, unas 300 personas residentes en las pedanías de Burunchel y Barranco Perona fueron desalojadas de sus domicilios y trasladadas al Teatro de la Merced de Cazorla.
Postion	Tokenization
1	A
2	pesar
3	de
4	que
5	las
6	llamas
7	no
8	llegaron
9	a
10	alcanzar
11	a
12	ninguna
13	vivienda
14	ni
15	a
16	los
17	hoteles
18	de
19	la
20	zona
21	,
22	que
23	durante
24	26
25	horas
26	permanecieron
27	sin
28	fluido
29	eléctrico
30	ni
31	teléfono
32	como
33	medida
34	preventiva
35	,
36	unas
37	300
38	personas
39	residentes
40	en
41	las
42	pedanías
43	de
44	Burunchel
45	y
46	Barranco
47	Perona
48	fueron
49	desalojadas
50	de
51	sus
52	domicilios
53	y
54	trasladadas
55	al
56	Teatro
57	de
58	la
59	Merced
60	de
61	Cazorla
62	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	8	mark
2	pesar	NOUN	1	fixed
3	de	ADP	1	fixed
4	que	SCONJ	1	fixed
5	las	DET	6	det
6	llamas	NOUN	8	nsubj
7	no	ADV	8	advmod
8	llegaron	VERB	0	root
9	a	ADP	10	mark
10	alcanzar	VERB	8	xcomp
11	a	ADP	13	case
12	ninguna	DET	13	det
13	vivienda	NOUN	10	obj
14	ni	CCONJ	17	cc
15	a	ADP	17	case
16	los	DET	17	det
17	hoteles	NOUN	13	conj
18	de	ADP	20	case
19	la	DET	20	det
20	zona	NOUN	17	nmod
21	,	PUNCT	26	punct
22	que	PRON	26	nsubj
23	durante	ADP	25	case
24	26	NUM	25	nummod
25	horas	NOUN	26	obl
26	permanecieron	VERB	17	acl
27	sin	ADP	28	case
28	fluido	NOUN	26	obl
29	eléctrico	ADJ	28	amod
30	ni	CCONJ	31	cc
31	teléfono	NOUN	28	conj
32	como	SCONJ	33	mark
33	medida	NOUN	26	obl
34	preventiva	ADJ	33	amod
35	,	PUNCT	49	punct
36	unas	PRON	37	nmod
37	300	NUM	38	nummod
38	personas	NOUN	49	nsubj
39	residentes	ADJ	38	amod
40	en	ADP	42	case
41	las	DET	42	det
42	pedanías	NOUN	39	nmod
43	de	ADP	44	case
44	Burunchel	PROPN	42	nmod
45	y	CCONJ	46	cc
46	Barranco	PROPN	44	conj
47	Perona	PROPN	46	flat
48	fueron	AUX	49	aux
49	desalojadas	VERB	10	advcl
50	de	ADP	52	case
51	sus	DET	52	det
52	domicilios	NOUN	49	obl
53	y	CCONJ	54	cc
54	trasladadas	VERB	49	conj
55	al	ADP	56	mark
56	Teatro	PROPN	54	obl
57	de	ADP	59	case
58	la	DET	59	det
59	Merced	PROPN	56	nmod
60	de	ADP	61	case
61	Cazorla	PROPN	56	nmod
62	.	PUNCT	8	punct