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:
Bien que la photo soit un peu floue, Jimmy est satisfait car on discerne sans le moindre doute une silhouette vêtue de bleu et de rouge.
Postion	Tokenization
1	Bien
2	que
3	la
4	photo
5	soit
6	un
7	peu
8	floue
9	,
10	Jimmy
11	est
12	satisfait
13	car
14	on
15	discerne
16	sans
17	le
18	moindre
19	doute
20	une
21	silhouette
22	vêtue
23	de
24	bleu
25	et
26	de
27	rouge
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Bien	ADV	8	mark
2	que	SCONJ	1	fixed
3	la	DET	4	det
4	photo	NOUN	8	nsubj
5	soit	AUX	8	cop
6	un	DET	8	advmod
7	peu	ADV	6	fixed
8	floue	ADJ	12	advcl
9	,	PUNCT	8	punct
10	Jimmy	PROPN	12	nsubj
11	est	AUX	12	cop
12	satisfait	ADJ	0	root
13	car	CCONJ	15	cc
14	on	PRON	15	nsubj
15	discerne	VERB	12	conj
16	sans	ADP	19	case
17	le	DET	19	det
18	moindre	ADJ	19	amod
19	doute	NOUN	15	obl:mod
20	une	DET	21	det
21	silhouette	NOUN	15	obj
22	vêtue	VERB	21	acl
23	de	ADP	24	case
24	bleu	NOUN	22	obl:mod
25	et	CCONJ	27	cc
26	de	ADP	27	case
27	rouge	NOUN	24	conj
28	.	PUNCT	12	punct