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:
Qu'est-ce que 1.000 emplois quand on en détruit et qu'on en créé 20.000 tous les jours en France ?
Postion	Tokenization
1	Qu'
2	est
3	-ce
4	que
5	1.000
6	emplois
7	quand
8	on
9	en
10	détruit
11	et
12	qu'
13	on
14	en
15	créé
16	20.000
17	tous
18	les
19	jours
20	en
21	France
22	?
Position	Tokenization	UPOS	Head	Deprel
1	Qu'	PRON	0	root
2	est	AUX	1	cop
3	-ce	PRON	1	expl:subj
4	que	SCONJ	6	case
5	1.000	NUM	6	nummod
6	emplois	NOUN	1	dislocated
7	quand	SCONJ	10	mark
8	on	PRON	10	nsubj
9	en	PRON	10	obj
10	détruit	VERB	1	advcl
11	et	CCONJ	15	cc
12	qu'	SCONJ	15	mark
13	on	PRON	15	nsubj:pass
14	en	PRON	16	nmod
15	créé	VERB	10	conj
16	20.000	NUM	15	obj
17	tous	ADJ	19	amod
18	les	DET	19	det
19	jours	NOUN	10	obl:mod
20	en	ADP	21	case
21	France	PROPN	10	obl:mod
22	?	PUNCT	1	punct