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:
Elle sous-entend au contraire un dynamisme, un changement et à ce titre l'analogie avec une roue qui tourne (N.B : sur quel axe ?
Postion	Tokenization
1	Elle
2	sous-entend
3	au
4	à
5	le
6	contraire
7	un
8	dynamisme
9	,
10	un
11	changement
12	et
13	à
14	ce
15	titre
16	l'
17	analogie
18	avec
19	une
20	roue
21	qui
22	tourne
23	(
24	N.B
25	:
26	sur
27	quel
28	axe
29	?
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	sous-entend	VERB	0	root
3	au	_	None	_
4	à	ADP	2	advmod
5	le	DET	3	fixed
6	contraire	NOUN	3	fixed
7	un	DET	7	det
8	dynamisme	NOUN	2	obj
9	,	PUNCT	10	punct
10	un	DET	10	det
11	changement	NOUN	7	conj
12	et	CCONJ	16	cc
13	à	ADP	14	case
14	ce	DET	14	det
15	titre	NOUN	16	nmod
16	l'	DET	16	det
17	analogie	NOUN	7	conj
18	avec	ADP	19	case
19	une	DET	19	det
20	roue	NOUN	16	nmod
21	qui	PRON	21	nsubj
22	tourne	VERB	19	acl:relcl
23	(	PUNCT	23	punct
24	N.B	ADV	27	advmod
25	:	PUNCT	23	punct
26	sur	ADP	27	case
27	quel	DET	27	det
28	axe	NOUN	21	obl:mod
29	?	PUNCT	27	punct