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:
Ainsi le conflit entre une thèse et une antithèse donne une synthèse et si le processus thèse-antithèse est sous le contrôle de cette société, la synthèse découlera forcément de sa volonté.
Postion	Tokenization
1	Ainsi
2	le
3	conflit
4	entre
5	une
6	thèse
7	et
8	une
9	antithèse
10	donne
11	une
12	synthèse
13	et
14	si
15	le
16	processus
17	thèse-antithèse
18	est
19	sous
20	le
21	contrôle
22	de
23	cette
24	société
25	,
26	la
27	synthèse
28	découlera
29	forcément
30	de
31	sa
32	volonté
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ainsi	ADV	10	advmod
2	le	DET	3	det
3	conflit	NOUN	10	nsubj
4	entre	ADP	6	case
5	une	DET	6	det
6	thèse	NOUN	3	nmod
7	et	CCONJ	9	cc
8	une	DET	9	det
9	antithèse	NOUN	6	conj
10	donne	VERB	0	root
11	une	DET	12	det
12	synthèse	NOUN	10	obj
13	et	CCONJ	28	cc
14	si	SCONJ	18	mark
15	le	DET	16	det
16	processus	NOUN	18	nsubj
17	thèse-antithèse	NOUN	16	appos
18	est	VERB	28	advcl
19	sous	ADP	21	case
20	le	DET	21	det
21	contrôle	NOUN	18	obl:mod
22	de	ADP	24	case
23	cette	DET	24	det
24	société	NOUN	21	nmod
25	,	PUNCT	18	punct
26	la	DET	27	det
27	synthèse	NOUN	28	nsubj
28	découlera	VERB	10	conj
29	forcément	ADV	28	advmod
30	de	ADP	32	case
31	sa	DET	32	det
32	volonté	NOUN	28	obl:arg
33	.	PUNCT	10	punct