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:
L'extraordinaire capacité de déduction du juge Ti le rendit célèbre de son vivant, si bien qu'il entra dans les annales judiciaires chinoises.
Postion	Tokenization
1	L'
2	extraordinaire
3	capacité
4	de
5	déduction
6	du
7	de
8	le
9	juge
10	Ti
11	le
12	rendit
13	célèbre
14	de
15	son
16	vivant
17	,
18	si
19	bien
20	qu'
21	il
22	entra
23	dans
24	les
25	annales
26	judiciaires
27	chinoises
28	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	3	det
2	extraordinaire	ADJ	3	amod
3	capacité	NOUN	11	nsubj
4	de	ADP	5	case
5	déduction	NOUN	3	nmod
6	du	_	None	_
7	de	ADP	8	case
8	le	DET	8	det
9	juge	NOUN	3	nmod
10	Ti	PROPN	8	appos
11	le	PRON	11	obj
12	rendit	VERB	0	root
13	célèbre	ADJ	11	xcomp:pred
14	de	ADP	15	case
15	son	DET	15	det
16	vivant	NOUN	12	obl:mod
17	,	PUNCT	21	punct
18	si	ADV	21	mark
19	bien	ADV	17	fixed
20	qu'	SCONJ	17	fixed
21	il	PRON	21	nsubj
22	entra	VERB	11	advcl
23	dans	ADP	24	case
24	les	DET	24	det
25	annales	NOUN	21	obl:arg
26	judiciaires	ADJ	24	amod
27	chinoises	ADJ	24	amod
28	.	PUNCT	11	punct