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:
Le Rudraksha (Rudra-Aksha, « larmes de Rudra » en sanskrit, Rudra étant un des noms de Shiva) est un chapelet (mâlâ) utilisé dans l'hindouisme.
Postion	Tokenization
1	Le
2	Rudraksha
3	(
4	Rudra-Aksha
5	,
6	«
7	larmes
8	de
9	Rudra
10	»
11	en
12	sanskrit
13	,
14	Rudra
15	étant
16	un
17	des
18	de
19	les
20	noms
21	de
22	Shiva
23	)
24	est
25	un
26	chapelet
27	(
28	mâlâ
29	)
30	utilisé
31	dans
32	l'
33	hindouisme
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	Rudraksha	PROPN	25	nsubj
3	(	PUNCT	4	punct
4	Rudra-Aksha	PROPN	2	appos
5	,	PUNCT	7	punct
6	«	PUNCT	7	punct
7	larmes	NOUN	4	appos
8	de	ADP	9	case
9	Rudra	PROPN	7	nmod
10	»	PUNCT	7	punct
11	en	ADP	12	case
12	sanskrit	NOUN	7	nmod
13	,	PUNCT	7	punct
14	Rudra	PROPN	16	nsubj
15	étant	AUX	16	cop
16	un	PRON	25	advcl
17	des	_	None	_
18	de	ADP	19	case
19	les	DET	19	det
20	noms	NOUN	16	nmod
21	de	ADP	21	case
22	Shiva	PROPN	19	nmod
23	)	PUNCT	16	punct
24	est	AUX	25	cop
25	un	DET	25	det
26	chapelet	NOUN	0	root
27	(	PUNCT	27	punct
28	mâlâ	NOUN	25	appos
29	)	PUNCT	27	punct
30	utilisé	VERB	25	acl
31	dans	ADP	32	case
32	l'	DET	32	det
33	hindouisme	NOUN	29	obl:mod
34	.	PUNCT	25	punct