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 pasado 15 de marzo, el Banco de España abrió expediente al BBVA por mantener 225 millones de euros de "fondos ocultos" en Jersey.
Postion	Tokenization
1	El
2	pasado
3	15
4	de
5	marzo
6	,
7	el
8	Banco
9	de
10	España
11	abrió
12	expediente
13	al
14	BBVA
15	por
16	mantener
17	225
18	millones
19	de
20	euros
21	de
22	"
23	fondos
24	ocultos
25	"
26	en
27	Jersey
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	pasado	ADJ	3	amod
3	15	NUM	11	obl
4	de	ADP	5	case
5	marzo	NOUN	3	compound
6	,	PUNCT	3	punct
7	el	DET	8	det
8	Banco	PROPN	11	nsubj
9	de	ADP	10	case
10	España	PROPN	8	flat
11	abrió	VERB	0	root
12	expediente	NOUN	11	obj
13	al	ADP	14	case
14	BBVA	PROPN	11	obj
15	por	ADP	16	mark
16	mantener	VERB	11	advcl
17	225	NUM	18	nummod
18	millones	NOUN	16	obj
19	de	ADP	20	case
20	euros	NOUN	18	nmod
21	de	ADP	23	case
22	"	PUNCT	23	punct
23	fondos	NOUN	18	nmod
24	ocultos	ADJ	23	amod
25	"	PUNCT	23	punct
26	en	ADP	27	case
27	Jersey	PROPN	16	obl
28	.	PUNCT	11	punct