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:
Bertrand Cantat s'est joint à eux sur plusieurs titres pendant ce concert où ils confirment la popularité dont ils jouissent en France.
Postion	Tokenization
1	Bertrand
2	Cantat
3	s'
4	est
5	joint
6	à
7	eux
8	sur
9	plusieurs
10	titres
11	pendant
12	ce
13	concert
14	où
15	ils
16	confirment
17	la
18	popularité
19	dont
20	ils
21	jouissent
22	en
23	France
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Bertrand	PROPN	5	nsubj
2	Cantat	PROPN	1	flat:name
3	s'	PRON	5	obj
4	est	AUX	5	aux:tense
5	joint	VERB	0	root
6	à	ADP	7	case
7	eux	PRON	5	obl:arg
8	sur	ADP	10	case
9	plusieurs	DET	10	det
10	titres	NOUN	5	obl:mod
11	pendant	ADP	13	case
12	ce	DET	13	det
13	concert	NOUN	5	obl:mod
14	où	ADV	16	advmod
15	ils	PRON	16	nsubj
16	confirment	VERB	13	acl:relcl
17	la	DET	18	det
18	popularité	NOUN	16	obj
19	dont	PRON	21	obl:arg
20	ils	PRON	21	nsubj
21	jouissent	VERB	18	acl:relcl
22	en	ADP	23	case
23	France	PROPN	21	obl:mod
24	.	PUNCT	5	punct