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:
Mencionó también con indignación las acusaciones vertidas contra el fallecido presidente francés Francois Mitterand, respecto a una supuesta ayuda millonaria de aquel a las campañas electorales de Kohl que presuntamente se canalizaron a través de la compra de una refinería de la ex RDA por el grupo francés Elf Aquitaine.
Postion	Tokenization
1	Mencionó
2	también
3	con
4	indignación
5	las
6	acusaciones
7	vertidas
8	contra
9	el
10	fallecido
11	presidente
12	francés
13	Francois
14	Mitterand
15	,
16	respecto
17	a
18	una
19	supuesta
20	ayuda
21	millonaria
22	de
23	aquel
24	a
25	las
26	campañas
27	electorales
28	de
29	Kohl
30	que
31	presuntamente
32	se
33	canalizaron
34	a
35	través
36	de
37	la
38	compra
39	de
40	una
41	refinería
42	de
43	la
44	ex
45	RDA
46	por
47	el
48	grupo
49	francés
50	Elf
51	Aquitaine
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Mencionó	VERB	0	root
2	también	ADV	1	advmod
3	con	ADP	4	case
4	indignación	NOUN	1	obl
5	las	DET	6	det
6	acusaciones	NOUN	1	obj
7	vertidas	ADJ	6	amod
8	contra	ADP	11	case
9	el	DET	11	det
10	fallecido	ADJ	11	amod
11	presidente	NOUN	7	obl
12	francés	ADJ	11	amod
13	Francois	PROPN	11	appos
14	Mitterand	PROPN	13	flat
15	,	PUNCT	20	punct
16	respecto	NOUN	20	case
17	a	ADP	16	fixed
18	una	DET	20	det
19	supuesta	ADJ	20	amod
20	ayuda	NOUN	6	nmod
21	millonaria	ADJ	20	amod
22	de	ADP	23	case
23	aquel	PRON	20	nmod
24	a	ADP	26	case
25	las	DET	26	det
26	campañas	NOUN	20	nmod
27	electorales	ADJ	26	amod
28	de	ADP	29	case
29	Kohl	PROPN	26	nmod
30	que	PRON	33	nsubj
31	presuntamente	ADV	33	advmod
32	se	PRON	33	expl:pass
33	canalizaron	VERB	20	acl
34	a	ADP	38	case
35	través	NOUN	34	fixed
36	de	ADP	34	fixed
37	la	DET	38	det
38	compra	NOUN	33	obl
39	de	ADP	41	case
40	una	DET	41	det
41	refinería	NOUN	38	nmod
42	de	ADP	45	case
43	la	DET	45	det
44	ex	ADJ	45	amod
45	RDA	PROPN	41	nmod
46	por	ADP	48	case
47	el	DET	48	det
48	grupo	NOUN	38	nmod
49	francés	ADJ	48	amod
50	Elf	PROPN	48	appos
51	Aquitaine	PROPN	50	flat
52	.	PUNCT	1	punct