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:
Murtra destaca que en el 95% de los servicios, tanto incendios como salvamentos, los bomberos llegaron al lugar antes de 10 minutos.
Postion	Tokenization
1	Murtra
2	destaca
3	que
4	en
5	el
6	95%
7	de
8	los
9	servicios
10	,
11	tanto
12	incendios
13	como
14	salvamentos
15	,
16	los
17	bomberos
18	llegaron
19	al
20	lugar
21	antes
22	de
23	10
24	minutos
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Murtra	PROPN	2	nsubj
2	destaca	VERB	0	root
3	que	SCONJ	18	mark
4	en	ADP	6	case
5	el	DET	6	det
6	95%	SYM	18	obl
7	de	ADP	9	case
8	los	DET	9	det
9	servicios	NOUN	6	nmod
10	,	PUNCT	12	punct
11	tanto	ADV	12	cc
12	incendios	NOUN	9	appos
13	como	SCONJ	14	cc
14	salvamentos	NOUN	12	conj
15	,	PUNCT	12	punct
16	los	DET	17	det
17	bomberos	NOUN	18	nsubj
18	llegaron	VERB	2	ccomp
19	al	ADP	20	case
20	lugar	NOUN	18	obl
21	antes	ADV	18	advmod
22	de	ADP	24	case
23	10	NUM	24	nummod
24	minutos	NOUN	21	obl
25	.	PUNCT	2	punct