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:
La subida en dos décimas de la tasa de paro en EEUU en mayo hasta el 4,1 por ciento reforzó la tendencia al alza de los últimos días de la moneda única, que llegó a tocar la barrera de los 0,95 dólares, aunque no pudo mantenerla.
Postion	Tokenization
1	La
2	subida
3	en
4	dos
5	décimas
6	de
7	la
8	tasa
9	de
10	paro
11	en
12	EEUU
13	en
14	mayo
15	hasta
16	el
17	4,1
18	por
19	ciento
20	reforzó
21	la
22	tendencia
23	al
24	alza
25	de
26	los
27	últimos
28	días
29	de
30	la
31	moneda
32	única
33	,
34	que
35	llegó
36	a
37	tocar
38	la
39	barrera
40	de
41	los
42	0,95
43	dólares
44	,
45	aunque
46	no
47	pudo
48	mantenerla
49	mantener
50	la
51	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	subida	NOUN	20	nsubj
3	en	ADP	5	case
4	dos	NUM	5	nummod
5	décimas	NOUN	2	nmod
6	de	ADP	8	case
7	la	DET	8	det
8	tasa	NOUN	2	nmod
9	de	ADP	10	case
10	paro	NOUN	8	nmod
11	en	ADP	12	case
12	EEUU	PROPN	2	nmod
13	en	ADP	14	case
14	mayo	NOUN	2	nmod
15	hasta	ADP	17	case
16	el	DET	17	det
17	4,1	NUM	2	nummod
18	por	ADP	19	case
19	ciento	NUM	17	compound
20	reforzó	VERB	0	root
21	la	DET	22	det
22	tendencia	NOUN	20	obj
23	al	ADP	24	case
24	alza	NOUN	22	nmod
25	de	ADP	28	case
26	los	DET	28	det
27	últimos	ADJ	28	amod
28	días	NOUN	22	nmod
29	de	ADP	31	case
30	la	DET	31	det
31	moneda	NOUN	28	nmod
32	única	ADJ	31	amod
33	,	PUNCT	35	punct
34	que	PRON	35	nsubj
35	llegó	VERB	31	acl
36	a	ADP	37	mark
37	tocar	VERB	35	xcomp
38	la	DET	39	det
39	barrera	NOUN	37	obj
40	de	ADP	43	case
41	los	DET	42	det
42	0,95	NUM	43	nummod
43	dólares	NOUN	39	nmod
44	,	PUNCT	35	punct
45	aunque	SCONJ	48	mark
46	no	ADV	48	advmod
47	pudo	AUX	48	aux
48	mantenerla	_	None	_
49	mantener	VERB	20	advcl
50	la	PRON	48	obj
51	.	PUNCT	20	punct