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 descenso medio del paro en mayo en los quince años anteriores fue de 56.665 desempleados, y en el mismo mes de 1999 el desempleo tuvo una reducción de 58.880 personas, mientras que en los últimos doce meses bajó en 117.951 personas, un 7,15 por ciento.
Postion	Tokenization
1	El
2	descenso
3	medio
4	del
5	paro
6	en
7	mayo
8	en
9	los
10	quince
11	años
12	anteriores
13	fue
14	de
15	56.665
16	desempleados
17	,
18	y
19	en
20	el
21	mismo
22	mes
23	de
24	1999
25	el
26	desempleo
27	tuvo
28	una
29	reducción
30	de
31	58.880
32	personas
33	,
34	mientras
35	que
36	en
37	los
38	últimos
39	doce
40	meses
41	bajó
42	en
43	117.951
44	personas
45	,
46	un
47	7,15
48	por
49	ciento
50	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	descenso	NOUN	16	nsubj
3	medio	ADJ	2	amod
4	del	ADP	5	case
5	paro	NOUN	2	nmod
6	en	ADP	7	case
7	mayo	NOUN	2	nmod
8	en	ADP	11	case
9	los	DET	11	det
10	quince	NUM	9	nummod
11	años	NOUN	16	obl
12	anteriores	ADJ	11	amod
13	fue	AUX	16	cop
14	de	ADP	16	case
15	56.665	NUM	16	nummod
16	desempleados	NOUN	0	root
17	,	PUNCT	27	punct
18	y	CCONJ	27	cc
19	en	ADP	22	case
20	el	DET	22	det
21	mismo	DET	20	det
22	mes	NOUN	27	obl
23	de	ADP	24	case
24	1999	NOUN	22	nmod
25	el	DET	26	det
26	desempleo	NOUN	27	nsubj
27	tuvo	VERB	16	conj
28	una	DET	29	det
29	reducción	NOUN	27	obj
30	de	ADP	32	case
31	58.880	NUM	32	nummod
32	personas	NOUN	29	nmod
33	,	PUNCT	41	punct
34	mientras	CCONJ	41	mark
35	que	SCONJ	34	fixed
36	en	ADP	40	case
37	los	DET	40	det
38	últimos	ADJ	37	amod
39	doce	NUM	37	nummod
40	meses	NOUN	41	obl
41	bajó	VERB	27	advcl
42	en	ADP	44	case
43	117.951	NUM	44	nummod
44	personas	NOUN	41	obl
45	,	PUNCT	47	punct
46	un	DET	47	det
47	7,15	NUM	44	appos
48	por	ADP	49	case
49	ciento	NUM	47	compound
50	.	PUNCT	16	punct