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:
Malgré un détournement estimé à 600 millions de dollars et plusieurs assassinats de la mafia, le Vatican s'efforça d'étouffer l'affaire et de soustraire Marcinkus à la justice italienne.
Postion	Tokenization
1	Malgré
2	un
3	détournement
4	estimé
5	à
6	600
7	millions
8	de
9	dollars
10	et
11	plusieurs
12	assassinats
13	de
14	la
15	mafia
16	,
17	le
18	Vatican
19	s'
20	efforça
21	d'
22	étouffer
23	l'
24	affaire
25	et
26	de
27	soustraire
28	Marcinkus
29	à
30	la
31	justice
32	italienne
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Malgré	ADP	3	case
2	un	DET	3	det
3	détournement	NOUN	20	obl:mod
4	estimé	VERB	3	acl
5	à	ADP	7	case
6	600	NUM	7	nummod
7	millions	NOUN	4	obl:arg
8	de	ADP	9	case
9	dollars	NOUN	7	nmod
10	et	CCONJ	12	cc
11	plusieurs	DET	12	det
12	assassinats	NOUN	3	conj
13	de	ADP	15	case
14	la	DET	15	det
15	mafia	NOUN	12	nmod
16	,	PUNCT	3	punct
17	le	DET	18	det
18	Vatican	PROPN	20	nsubj
19	s'	PRON	20	dep:comp
20	efforça	VERB	0	root
21	d'	ADP	22	mark
22	étouffer	VERB	20	xcomp:obl
23	l'	DET	24	det
24	affaire	NOUN	22	obj
25	et	CCONJ	27	cc
26	de	ADP	27	mark
27	soustraire	VERB	22	conj
28	Marcinkus	PROPN	27	obj
29	à	ADP	31	case
30	la	DET	31	det
31	justice	NOUN	27	obl:arg
32	italienne	ADJ	31	amod
33	.	PUNCT	20	punct