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:
Mayer a été le conjoint de plusieurs célébrités dont Taylor Swift, Jennifer Aniston, Jessica Simpson, Jennifer Love Hewitt et Katy Perry.
Postion	Tokenization
1	Mayer
2	a
3	été
4	le
5	conjoint
6	de
7	plusieurs
8	célébrités
9	dont
10	Taylor
11	Swift
12	,
13	Jennifer
14	Aniston
15	,
16	Jessica
17	Simpson
18	,
19	Jennifer
20	Love
21	Hewitt
22	et
23	Katy
24	Perry
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Mayer	PROPN	5	nsubj
2	a	AUX	5	aux:tense
3	été	AUX	5	cop
4	le	DET	5	det
5	conjoint	NOUN	0	root
6	de	ADP	8	case
7	plusieurs	DET	8	det
8	célébrités	NOUN	5	nmod
9	dont	PRON	10	nmod
10	Taylor	PROPN	8	appos
11	Swift	PROPN	10	flat:name
12	,	PUNCT	13	punct
13	Jennifer	PROPN	10	conj
14	Aniston	PROPN	13	flat:name
15	,	PUNCT	16	punct
16	Jessica	PROPN	10	conj
17	Simpson	PROPN	16	flat:name
18	,	PUNCT	19	punct
19	Jennifer	PROPN	10	conj
20	Love	PROPN	19	flat:name
21	Hewitt	PROPN	20	flat:name
22	et	CCONJ	23	cc
23	Katy	PROPN	10	conj
24	Perry	PROPN	23	flat:name
25	.	PUNCT	5	punct