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 secretario general de la FIAB, Jorge Jordana, admitió que sólo a través del crecimiento y de la mayor dimensión se puede hacer frente a la "enfermedad francesa" de la concentración, que se ha visto agravada recientemente con la fusión de los grupos Carrefour y Promodès.
Postion	Tokenization
1	El
2	secretario
3	general
4	de
5	la
6	FIAB
7	,
8	Jorge
9	Jordana
10	,
11	admitió
12	que
13	sólo
14	a
15	través
16	del
17	crecimiento
18	y
19	de
20	la
21	mayor
22	dimensión
23	se
24	puede
25	hacer
26	frente
27	a
28	la
29	"
30	enfermedad
31	francesa
32	"
33	de
34	la
35	concentración
36	,
37	que
38	se
39	ha
40	visto
41	agravada
42	recientemente
43	con
44	la
45	fusión
46	de
47	los
48	grupos
49	Carrefour
50	y
51	Promodès
52	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	11	nsubj
3	general	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	FIAB	PROPN	2	nmod
7	,	PUNCT	8	punct
8	Jorge	PROPN	2	appos
9	Jordana	PROPN	8	flat
10	,	PUNCT	8	punct
11	admitió	VERB	0	root
12	que	SCONJ	25	mark
13	sólo	ADV	25	advmod
14	a	ADP	13	case
15	través	NOUN	14	fixed
16	del	ADP	14	fixed
17	crecimiento	NOUN	13	nmod
18	y	CCONJ	22	cc
19	de	ADP	22	case
20	la	DET	22	det
21	mayor	ADJ	22	amod
22	dimensión	NOUN	13	conj
23	se	PRON	25	expl:pass
24	puede	AUX	25	aux
25	hacer	VERB	11	xcomp
26	frente	NOUN	25	compound
27	a	ADP	30	case
28	la	DET	30	det
29	"	PUNCT	30	punct
30	enfermedad	NOUN	25	obj
31	francesa	ADJ	30	amod
32	"	PUNCT	30	punct
33	de	ADP	35	case
34	la	DET	35	det
35	concentración	NOUN	30	nmod
36	,	PUNCT	40	punct
37	que	PRON	40	nsubj
38	se	PRON	40	expl:pv
39	ha	AUX	40	aux
40	visto	VERB	30	acl
41	agravada	ADJ	40	obj
42	recientemente	ADV	41	advmod
43	con	ADP	45	case
44	la	DET	45	det
45	fusión	NOUN	41	obl
46	de	ADP	48	case
47	los	DET	48	det
48	grupos	NOUN	45	nmod
49	Carrefour	PROPN	48	appos
50	y	CCONJ	51	cc
51	Promodès	PROPN	49	conj
52	.	PUNCT	11	punct