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:
En 2002, l'actrice et chanteuse Brigitte Nielsen et l'acteur Udo Kier apparaissent dans le clip du groupe "Make Me Bad".
Postion	Tokenization
1	En
2	2002
3	,
4	l'
5	actrice
6	et
7	chanteuse
8	Brigitte
9	Nielsen
10	et
11	l'
12	acteur
13	Udo
14	Kier
15	apparaissent
16	dans
17	le
18	clip
19	du
20	de
21	le
22	groupe
23	"
24	Make
25	Me
26	Bad
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	2002	NUM	15	obl:mod
3	,	PUNCT	2	punct
4	l'	DET	5	det
5	actrice	NOUN	15	nsubj
6	et	CCONJ	7	cc
7	chanteuse	NOUN	5	conj
8	Brigitte	PROPN	7	appos
9	Nielsen	PROPN	8	flat:name
10	et	CCONJ	12	cc
11	l'	DET	12	det
12	acteur	NOUN	5	conj
13	Udo	PROPN	12	appos
14	Kier	PROPN	13	flat:name
15	apparaissent	VERB	0	root
16	dans	ADP	18	case
17	le	DET	18	det
18	clip	NOUN	15	obl:mod
19	du	_	None	_
20	de	ADP	21	case
21	le	DET	21	det
22	groupe	NOUN	18	nmod
23	"	PUNCT	23	punct
24	Make	PROPN	18	appos
25	Me	PROPN	23	flat:name
26	Bad	PROPN	24	flat:name
27	"	PUNCT	23	punct
28	.	PUNCT	15	punct