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:
Tanta es la incidencia de los incendios en la vía pública que, desglosando los servicios por día de la semana, los sábados son los días que acumulan más salidas de los bomberos.
Postion	Tokenization
1	Tanta
2	es
3	la
4	incidencia
5	de
6	los
7	incendios
8	en
9	la
10	vía
11	pública
12	que
13	,
14	desglosando
15	los
16	servicios
17	por
18	día
19	de
20	la
21	semana
22	,
23	los
24	sábados
25	son
26	los
27	días
28	que
29	acumulan
30	más
31	salidas
32	de
33	los
34	bomberos
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Tanta	PRON	4	nsubj
2	es	AUX	4	cop
3	la	DET	4	det
4	incidencia	NOUN	0	root
5	de	ADP	7	case
6	los	DET	7	det
7	incendios	NOUN	4	nmod
8	en	ADP	10	case
9	la	DET	10	det
10	vía	NOUN	4	nmod
11	pública	ADJ	10	amod
12	que	SCONJ	27	mark
13	,	PUNCT	14	punct
14	desglosando	VERB	27	advcl
15	los	DET	16	det
16	servicios	NOUN	14	obj
17	por	ADP	18	case
18	día	NOUN	14	obl
19	de	ADP	21	case
20	la	DET	21	det
21	semana	NOUN	18	nmod
22	,	PUNCT	14	punct
23	los	DET	24	det
24	sábados	NOUN	27	nsubj
25	son	AUX	27	cop
26	los	DET	27	det
27	días	NOUN	4	advcl
28	que	PRON	29	nsubj
29	acumulan	VERB	27	acl
30	más	ADV	31	advmod
31	salidas	NOUN	29	obj
32	de	ADP	34	case
33	los	DET	34	det
34	bomberos	NOUN	31	nmod
35	.	PUNCT	4	punct