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 número de parados registrado en Canarias en mayo subió en 1.298 personas en relación con el mes anterior, con lo que la cifra de desempleados en las islas se sitúa en 89.764, es decir el 12,7 por ciento de la población activa, según datos del Ministerio de Trabajo.
Postion	Tokenization
1	El
2	número
3	de
4	parados
5	registrado
6	en
7	Canarias
8	en
9	mayo
10	subió
11	en
12	1.298
13	personas
14	en
15	relación
16	con
17	el
18	mes
19	anterior
20	,
21	con
22	lo
23	que
24	la
25	cifra
26	de
27	desempleados
28	en
29	las
30	islas
31	se
32	sitúa
33	en
34	89.764
35	,
36	es
37	decir
38	el
39	12,7
40	por
41	ciento
42	de
43	la
44	población
45	activa
46	,
47	según
48	datos
49	del
50	Ministerio
51	de
52	Trabajo
53	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	número	NOUN	10	nsubj
3	de	ADP	4	case
4	parados	NOUN	2	nmod
5	registrado	ADJ	2	amod
6	en	ADP	7	case
7	Canarias	PROPN	5	obl
8	en	ADP	9	case
9	mayo	NOUN	5	obl
10	subió	VERB	0	root
11	en	ADP	13	case
12	1.298	NUM	13	nummod
13	personas	NOUN	10	obl
14	en	ADP	15	case
15	relación	NOUN	10	obl
16	con	ADP	18	case
17	el	DET	18	det
18	mes	NOUN	15	nmod
19	anterior	ADJ	18	amod
20	,	PUNCT	32	punct
21	con	ADP	23	case
22	lo	PRON	23	det
23	que	PRON	32	obl
24	la	DET	25	det
25	cifra	NOUN	32	nsubj
26	de	ADP	27	case
27	desempleados	NOUN	25	nmod
28	en	ADP	30	case
29	las	DET	30	det
30	islas	NOUN	27	nmod
31	se	PRON	32	expl:pv
32	sitúa	VERB	10	advcl
33	en	ADP	34	case
34	89.764	NUM	32	obl
35	,	PUNCT	36	punct
36	es	NOUN	34	advmod
37	decir	NOUN	36	fixed
38	el	DET	39	det
39	12,7	NUM	36	obl
40	por	ADP	41	case
41	ciento	NUM	39	compound
42	de	ADP	44	case
43	la	DET	44	det
44	población	NOUN	39	nmod
45	activa	ADJ	44	amod
46	,	PUNCT	48	punct
47	según	ADP	48	case
48	datos	NOUN	39	nmod
49	del	ADP	50	case
50	Ministerio	PROPN	48	nmod
51	de	ADP	52	case
52	Trabajo	PROPN	50	flat
53	.	PUNCT	10	punct