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:
Los Mossos d'Esquadra desalojaron a un centenar de personas hasta la zona de las piscinas de la urbanización, no tanto por el riesgo del fuego sino como medida de prevención por las altas temperaturas y el humo.
Postion	Tokenization
1	Los
2	Mossos
3	d'Esquadra
4	desalojaron
5	a
6	un
7	centenar
8	de
9	personas
10	hasta
11	la
12	zona
13	de
14	las
15	piscinas
16	de
17	la
18	urbanización
19	,
20	no
21	tanto
22	por
23	el
24	riesgo
25	del
26	fuego
27	sino
28	como
29	medida
30	de
31	prevención
32	por
33	las
34	altas
35	temperaturas
36	y
37	el
38	humo
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	Mossos	PROPN	4	nsubj
3	d'Esquadra	PROPN	2	flat
4	desalojaron	VERB	0	root
5	a	ADP	7	case
6	un	DET	7	det
7	centenar	NOUN	4	obj
8	de	ADP	9	case
9	personas	NOUN	7	nmod
10	hasta	ADP	12	case
11	la	DET	12	det
12	zona	NOUN	4	obl
13	de	ADP	15	case
14	las	DET	15	det
15	piscinas	NOUN	12	nmod
16	de	ADP	18	case
17	la	DET	18	det
18	urbanización	NOUN	15	nmod
19	,	PUNCT	24	punct
20	no	PART	24	cc
21	tanto	NOUN	20	fixed
22	por	ADP	24	case
23	el	DET	24	det
24	riesgo	NOUN	4	obl
25	del	ADP	26	case
26	fuego	NOUN	24	nmod
27	sino	CCONJ	29	cc
28	como	SCONJ	29	mark
29	medida	NOUN	24	conj
30	de	ADP	31	case
31	prevención	NOUN	29	nmod
32	por	ADP	35	case
33	las	DET	35	det
34	altas	ADJ	35	amod
35	temperaturas	NOUN	29	nmod
36	y	CCONJ	38	cc
37	el	DET	38	det
38	humo	NOUN	35	conj
39	.	PUNCT	4	punct