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:
Le sujet des voyages de Michèle Alliot-Marie est selon lui, une affaire de politique interne mais observe que la sortie de la Ministre des Affaires Etrangères sur l'aide sécuritaire lui semblait déplacée.
Postion	Tokenization
1	Le
2	sujet
3	des
4	de
5	les
6	voyages
7	de
8	Michèle
9	Alliot-Marie
10	est
11	selon
12	lui
13	,
14	une
15	affaire
16	de
17	politique
18	interne
19	mais
20	observe
21	que
22	la
23	sortie
24	de
25	la
26	Ministre
27	des
28	de
29	les
30	Affaires
31	Etrangères
32	sur
33	l'
34	aide
35	sécuritaire
36	lui
37	semblait
38	déplacée
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	sujet	NOUN	14	nsubj
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	voyages	NOUN	2	nmod
7	de	ADP	7	case
8	Michèle	PROPN	5	nmod
9	Alliot-Marie	PROPN	7	flat:name
10	est	AUX	14	cop
11	selon	ADP	11	case
12	lui	PRON	14	obl:mod
13	,	PUNCT	11	punct
14	une	DET	14	det
15	affaire	NOUN	0	root
16	de	ADP	16	case
17	politique	NOUN	14	nmod
18	interne	ADJ	16	amod
19	mais	CCONJ	19	cc
20	observe	VERB	14	conj
21	que	SCONJ	35	mark
22	la	DET	22	det
23	sortie	NOUN	35	nsubj
24	de	ADP	25	case
25	la	DET	25	det
26	Ministre	NOUN	22	nmod
27	des	_	None	_
28	de	ADP	28	case
29	les	DET	28	det
30	Affaires	NOUN	25	nmod
31	Etrangères	ADJ	28	amod
32	sur	ADP	32	case
33	l'	DET	32	det
34	aide	NOUN	25	nmod
35	sécuritaire	ADJ	32	amod
36	lui	PRON	35	obl:arg
37	semblait	VERB	19	ccomp:obj
38	déplacée	VERB	35	xcomp:pred
39	.	PUNCT	14	punct