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:
Bieber ajoute « As long you love me/ I'll be your platinum/ I'll be your silver/ I'll be your gold », ce qui signifie en français « Aussi longtemps que tu m'aimes / Je serais ton platine / Je serais ton argent / Je serais ton or ».
Postion	Tokenization
1	Bieber
2	ajoute
3	«
4	As
5	long
6	you
7	love
8	me
9	/
10	I'll
11	be
12	your
13	platinum
14	/
15	I'll
16	be
17	your
18	silver
19	/
20	I'll
21	be
22	your
23	gold
24	»
25	,
26	ce
27	qui
28	signifie
29	en
30	français
31	«
32	Aussi
33	longtemps
34	que
35	tu
36	m'
37	aimes
38	/
39	Je
40	serais
41	ton
42	platine
43	/
44	Je
45	serais
46	ton
47	argent
48	/
49	Je
50	serais
51	ton
52	or
53	»
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Bieber	PROPN	2	nsubj
2	ajoute	VERB	0	root
3	«	PUNCT	4	punct
4	As	X	2	obj
5	long	X	4	flat:foreign
6	you	X	5	flat:foreign
7	love	X	6	flat:foreign
8	me	X	7	flat:foreign
9	/	SYM	8	flat:foreign
10	I'll	X	9	flat:foreign
11	be	X	10	flat:foreign
12	your	X	11	flat:foreign
13	platinum	X	12	flat:foreign
14	/	SYM	13	flat:foreign
15	I'll	X	14	flat:foreign
16	be	X	15	flat:foreign
17	your	X	16	flat:foreign
18	silver	X	17	flat:foreign
19	/	SYM	18	flat:foreign
20	I'll	X	19	flat:foreign
21	be	X	20	flat:foreign
22	your	X	21	flat:foreign
23	gold	X	22	flat:foreign
24	»	PUNCT	4	punct
25	,	PUNCT	26	punct
26	ce	PRON	4	nmod
27	qui	PRON	28	nsubj
28	signifie	VERB	26	acl:relcl
29	en	ADP	30	case
30	français	NOUN	28	obl:mod
31	«	PUNCT	33	punct
32	Aussi	ADV	33	advmod
33	longtemps	ADV	28	obj
34	que	SCONJ	37	mark
35	tu	PRON	37	nsubj
36	m'	PRON	37	obj
37	aimes	VERB	32	ccomp:obj
38	/	SYM	42	cc
39	Je	PRON	42	nsubj
40	serais	AUX	42	cop
41	ton	DET	42	det
42	platine	NOUN	33	conj
43	/	SYM	47	cc
44	Je	PRON	47	nsubj
45	serais	AUX	47	cop
46	ton	DET	47	det
47	argent	NOUN	33	conj
48	/	SYM	52	cc
49	Je	PRON	52	nsubj
50	serais	AUX	52	cop
51	ton	DET	52	det
52	or	NOUN	33	conj
53	»	PUNCT	33	punct
54	.	PUNCT	2	punct