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:
En la sesión de ayer de control del Gobierno en el Congreso, el diputado socialista Germá Bel reprochó a Rato que el Banco de España no haya detectado aún el nombre de los clientes de las cuentas.
Postion	Tokenization
1	En
2	la
3	sesión
4	de
5	ayer
6	de
7	control
8	del
9	Gobierno
10	en
11	el
12	Congreso
13	,
14	el
15	diputado
16	socialista
17	Germá
18	Bel
19	reprochó
20	a
21	Rato
22	que
23	el
24	Banco
25	de
26	España
27	no
28	haya
29	detectado
30	aún
31	el
32	nombre
33	de
34	los
35	clientes
36	de
37	las
38	cuentas
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	sesión	NOUN	19	obl
4	de	ADP	5	case
5	ayer	ADV	3	advmod
6	de	ADP	7	case
7	control	NOUN	3	nmod
8	del	ADP	9	case
9	Gobierno	PROPN	3	nmod
10	en	ADP	12	case
11	el	DET	12	det
12	Congreso	PROPN	3	nmod
13	,	PUNCT	3	punct
14	el	DET	15	det
15	diputado	NOUN	19	nsubj
16	socialista	ADJ	15	amod
17	Germá	PROPN	15	appos
18	Bel	PROPN	17	flat
19	reprochó	VERB	0	root
20	a	ADP	21	case
21	Rato	PROPN	19	iobj
22	que	SCONJ	29	mark
23	el	DET	24	det
24	Banco	PROPN	29	nsubj
25	de	ADP	26	case
26	España	PROPN	24	flat
27	no	ADV	29	advmod
28	haya	AUX	29	aux
29	detectado	VERB	19	ccomp
30	aún	ADV	29	advmod
31	el	DET	32	det
32	nombre	NOUN	29	obj
33	de	ADP	35	case
34	los	DET	35	det
35	clientes	NOUN	32	nmod
36	de	ADP	38	case
37	las	DET	38	det
38	cuentas	NOUN	35	nmod
39	.	PUNCT	19	punct