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 BCE reconocía así por primera vez que la depreciación del euro, que en apenas diez días había perdido casi cinco céntimos frente al dólar, influía significativamente en sus decisiones de política monetaria.
Postion	Tokenization
1	El
2	BCE
3	reconocía
4	así
5	por
6	primera
7	vez
8	que
9	la
10	depreciación
11	del
12	euro
13	,
14	que
15	en
16	apenas
17	diez
18	días
19	había
20	perdido
21	casi
22	cinco
23	céntimos
24	frente
25	al
26	dólar
27	,
28	influía
29	significativamente
30	en
31	sus
32	decisiones
33	de
34	política
35	monetaria
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	BCE	PROPN	3	nsubj
3	reconocía	VERB	0	root
4	así	ADV	3	advmod
5	por	ADP	7	case
6	primera	ADJ	7	amod
7	vez	NOUN	3	obl
8	que	SCONJ	28	mark
9	la	DET	10	det
10	depreciación	NOUN	28	nsubj
11	del	ADP	12	case
12	euro	NOUN	10	nmod
13	,	PUNCT	20	punct
14	que	PRON	20	nsubj
15	en	ADP	18	case
16	apenas	ADV	18	advmod
17	diez	NUM	18	nummod
18	días	NOUN	20	obl
19	había	AUX	20	aux
20	perdido	VERB	12	acl
21	casi	ADV	23	advmod
22	cinco	NUM	23	nummod
23	céntimos	NOUN	20	obj
24	frente	NOUN	26	case
25	al	ADP	24	fixed
26	dólar	NOUN	20	obl
27	,	PUNCT	20	punct
28	influía	VERB	3	ccomp
29	significativamente	ADV	28	advmod
30	en	ADP	32	case
31	sus	DET	32	det
32	decisiones	NOUN	28	obj
33	de	ADP	34	case
34	política	NOUN	32	nmod
35	monetaria	ADJ	34	amod
36	.	PUNCT	3	punct