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:
El servicio del 061, informó Sanitat, pudo disponer este fin de semana "del triple" de personal que en Navidad, cuando batió su récord de asistencia.
Postion	Tokenization
1	El
2	servicio
3	del
4	061
5	,
6	informó
7	Sanitat
8	,
9	pudo
10	disponer
11	este
12	fin
13	de
14	semana
15	"
16	del
17	triple
18	"
19	de
20	personal
21	que
22	en
23	Navidad
24	,
25	cuando
26	batió
27	su
28	récord
29	de
30	asistencia
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	servicio	NOUN	10	nsubj
3	del	ADP	4	case
4	061	NUM	2	nummod
5	,	PUNCT	6	punct
6	informó	VERB	10	parataxis
7	Sanitat	PROPN	6	nsubj
8	,	PUNCT	6	punct
9	pudo	AUX	10	aux
10	disponer	VERB	0	root
11	este	DET	12	det
12	fin	NOUN	10	obl
13	de	ADP	14	case
14	semana	NOUN	12	nmod
15	"	PUNCT	17	punct
16	del	ADP	17	case
17	triple	NUM	10	obj
18	"	PUNCT	17	punct
19	de	ADP	20	case
20	personal	NOUN	17	nmod
21	que	SCONJ	23	mark
22	en	ADP	23	case
23	Navidad	PROPN	17	obl
24	,	PUNCT	26	punct
25	cuando	PRON	26	obl
26	batió	VERB	23	acl
27	su	DET	28	det
28	récord	NOUN	26	obj
29	de	ADP	30	case
30	asistencia	NOUN	28	nmod
31	.	PUNCT	10	punct