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 aumento del índice de desempleo estadounidense fortaleció hoy considerablemente al euro, que a las 15.35 GMT se cotizaba en el mercado de divisas de Fráncfort a 0,9452 dólares, frente a los 0,9349 dólares de esta mañana.
Postion	Tokenization
1	El
2	aumento
3	del
4	índice
5	de
6	desempleo
7	estadounidense
8	fortaleció
9	hoy
10	considerablemente
11	al
12	euro
13	,
14	que
15	a
16	las
17	15.35
18	GMT
19	se
20	cotizaba
21	en
22	el
23	mercado
24	de
25	divisas
26	de
27	Fráncfort
28	a
29	0,9452
30	dólares
31	,
32	frente
33	a
34	los
35	0,9349
36	dólares
37	de
38	esta
39	mañana
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	aumento	NOUN	8	nsubj
3	del	ADP	4	case
4	índice	NOUN	2	nmod
5	de	ADP	6	case
6	desempleo	NOUN	4	nmod
7	estadounidense	ADJ	6	amod
8	fortaleció	VERB	0	root
9	hoy	ADV	8	advmod
10	considerablemente	ADV	8	advmod
11	al	ADP	12	case
12	euro	NOUN	8	obj
13	,	PUNCT	20	punct
14	que	PRON	20	nsubj
15	a	ADP	17	case
16	las	DET	17	det
17	15.35	NUM	20	obl
18	GMT	NOUN	17	appos
19	se	PRON	20	expl:pv
20	cotizaba	VERB	12	acl
21	en	ADP	23	case
22	el	DET	23	det
23	mercado	NOUN	20	obl
24	de	ADP	25	case
25	divisas	NOUN	23	nmod
26	de	ADP	27	case
27	Fráncfort	PROPN	23	nmod
28	a	ADP	30	case
29	0,9452	NUM	30	nummod
30	dólares	NOUN	20	obj
31	,	PUNCT	36	punct
32	frente	NOUN	36	case
33	a	ADP	32	fixed
34	los	DET	35	det
35	0,9349	NUM	36	nummod
36	dólares	NOUN	20	obl
37	de	ADP	39	case
38	esta	DET	39	det
39	mañana	NOUN	36	nmod
40	.	PUNCT	8	punct