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 magistrado del Tribunal Supremo, José Antonio Somalo Giménez, ha sido nombrado defensor del cliente de la Federación Catalana de Cajas de Ahorro, que agrupa a las 10 entidades de ahorros de Catalunya.
Postion	Tokenization
1	El
2	magistrado
3	del
4	Tribunal
5	Supremo
6	,
7	José
8	Antonio
9	Somalo
10	Giménez
11	,
12	ha
13	sido
14	nombrado
15	defensor
16	del
17	cliente
18	de
19	la
20	Federación
21	Catalana
22	de
23	Cajas
24	de
25	Ahorro
26	,
27	que
28	agrupa
29	a
30	las
31	10
32	entidades
33	de
34	ahorros
35	de
36	Catalunya
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	magistrado	NOUN	14	nsubj
3	del	ADP	4	case
4	Tribunal	PROPN	2	nmod
5	Supremo	PROPN	4	flat
6	,	PUNCT	7	punct
7	José	PROPN	2	appos
8	Antonio	PROPN	7	flat
9	Somalo	PROPN	7	flat
10	Giménez	PROPN	7	flat
11	,	PUNCT	7	punct
12	ha	AUX	14	aux
13	sido	AUX	14	aux
14	nombrado	VERB	0	root
15	defensor	NOUN	14	obj
16	del	ADP	17	case
17	cliente	NOUN	15	nmod
18	de	ADP	20	case
19	la	DET	20	det
20	Federación	PROPN	15	nmod
21	Catalana	PROPN	20	flat
22	de	ADP	23	case
23	Cajas	PROPN	20	flat
24	de	ADP	25	case
25	Ahorro	PROPN	20	flat
26	,	PUNCT	28	punct
27	que	PRON	28	nsubj
28	agrupa	VERB	20	acl
29	a	ADP	32	case
30	las	DET	31	det
31	10	NUM	32	nummod
32	entidades	NOUN	28	obj
33	de	ADP	34	case
34	ahorros	NOUN	32	nmod
35	de	ADP	36	case
36	Catalunya	PROPN	32	nmod
37	.	PUNCT	14	punct