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:
Il est souvent considéré comme le plus calme des membres des Who : Bill Wyman le décrit d'ailleurs comme « l'homme le plus calme en privé mais le plus fort sur scène ».
Postion	Tokenization
1	Il
2	est
3	souvent
4	considéré
5	comme
6	le
7	plus
8	calme
9	des
10	de
11	les
12	membres
13	des
14	de
15	les
16	Who
17	:
18	Bill
19	Wyman
20	le
21	décrit
22	d'
23	ailleurs
24	comme
25	«
26	l'
27	homme
28	le
29	plus
30	calme
31	en
32	privé
33	mais
34	le
35	plus
36	fort
37	sur
38	scène
39	»
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	nsubj:pass
2	est	AUX	4	aux:pass
3	souvent	ADV	4	advmod
4	considéré	VERB	0	root
5	comme	SCONJ	8	case
6	le	DET	8	det
7	plus	ADV	8	advmod
8	calme	ADJ	4	xcomp:pred
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	membres	NOUN	8	nmod
13	des	_	None	_
14	de	ADP	14	case
15	les	DET	14	det
16	Who	PROPN	11	nmod
17	:	PUNCT	19	punct
18	Bill	PROPN	19	nsubj
19	Wyman	PROPN	16	flat:name
20	le	PRON	19	obj
21	décrit	VERB	4	parataxis
22	d'	ADP	19	advmod
23	ailleurs	ADV	20	fixed
24	comme	ADP	25	case
25	«	PUNCT	25	punct
26	l'	DET	25	det
27	homme	NOUN	19	obl:mod
28	le	DET	28	advmod
29	plus	ADV	26	fixed
30	calme	ADJ	25	amod
31	en	ADP	28	advmod
32	privé	ADJ	29	fixed
33	mais	CCONJ	34	cc
34	le	DET	34	advmod
35	plus	ADV	32	fixed
36	fort	ADJ	28	conj
37	sur	ADP	36	case
38	scène	NOUN	34	obl:mod
39	»	PUNCT	25	punct
40	.	PUNCT	4	punct