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 sa surprise en les lisant, il décida d'accomplir sa mission, soit de détruire tous les villages acadiens sur sa route et de faire le plus de prisonniers possible.
Postion	Tokenization
1	Malgré
2	sa
3	surprise
4	en
5	les
6	lisant
7	,
8	il
9	décida
10	d'
11	accomplir
12	sa
13	mission
14	,
15	soit
16	de
17	détruire
18	tous
19	les
20	villages
21	acadiens
22	sur
23	sa
24	route
25	et
26	de
27	faire
28	le
29	plus
30	de
31	prisonniers
32	possible
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Malgré	ADP	3	case
2	sa	DET	3	det
3	surprise	NOUN	9	obl:mod
4	en	ADP	6	mark
5	les	PRON	6	obj
6	lisant	VERB	3	acl
7	,	PUNCT	3	punct
8	il	PRON	9	nsubj
9	décida	VERB	0	root
10	d'	ADP	11	mark
11	accomplir	VERB	9	xcomp:obj
12	sa	DET	13	det
13	mission	NOUN	11	obj
14	,	PUNCT	17	punct
15	soit	ADV	17	advmod
16	de	ADP	17	mark
17	détruire	VERB	9	xcomp:obj
18	tous	ADJ	20	amod
19	les	DET	20	det
20	villages	NOUN	17	obj
21	acadiens	ADJ	20	amod
22	sur	ADP	24	case
23	sa	DET	24	det
24	route	NOUN	17	obl:mod
25	et	CCONJ	27	cc
26	de	ADP	27	mark
27	faire	VERB	17	conj
28	le	DET	27	obj
29	plus	ADV	28	fixed
30	de	ADP	31	case
31	prisonniers	NOUN	28	nmod
32	possible	ADJ	28	amod
33	.	PUNCT	9	punct