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:
Officiellement, Sarkozy a pour mission de voir avec les autorités des trois pays quelles sont les mesures à prendre pour garantir la sécurité aux ressortissants français.
Postion	Tokenization
1	Officiellement
2	,
3	Sarkozy
4	a
5	pour
6	mission
7	de
8	voir
9	avec
10	les
11	autorités
12	des
13	de
14	les
15	trois
16	pays
17	quelles
18	sont
19	les
20	mesures
21	à
22	prendre
23	pour
24	garantir
25	la
26	sécurité
27	aux
28	à
29	les
30	ressortissants
31	français
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Officiellement	ADV	4	advmod
2	,	PUNCT	1	punct
3	Sarkozy	PROPN	4	nsubj
4	a	VERB	0	root
5	pour	ADP	6	case
6	mission	NOUN	4	obl:arg
7	de	ADP	8	mark
8	voir	VERB	4	xcomp:obj
9	avec	ADP	11	case
10	les	DET	11	det
11	autorités	NOUN	8	obl:mod
12	des	_	None	_
13	de	ADP	15	case
14	les	DET	15	det
15	trois	NUM	15	nummod
16	pays	NOUN	11	nmod
17	quelles	ADJ	8	ccomp:obj
18	sont	AUX	16	cop
19	les	DET	19	det
20	mesures	NOUN	16	nsubj
21	à	ADP	21	mark
22	prendre	VERB	19	acl
23	pour	ADP	23	mark
24	garantir	VERB	21	advcl
25	la	DET	25	det
26	sécurité	NOUN	23	obj
27	aux	_	None	_
28	à	ADP	28	case
29	les	DET	28	det
30	ressortissants	NOUN	23	obl:arg
31	français	ADJ	28	amod
32	.	PUNCT	4	punct