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:
Avant d'être abattu par Tracy, ce responsable--lui-même artificiel--explique vouloir remplacer les hommes importants par des machines afin de créer un monde plus stable.
Postion	Tokenization
1	Avant
2	d'
3	être
4	abattu
5	par
6	Tracy
7	,
8	ce
9	responsable
10	--
11	lui-même
12	artificiel
13	--
14	explique
15	vouloir
16	remplacer
17	les
18	hommes
19	importants
20	par
21	des
22	machines
23	afin
24	de
25	créer
26	un
27	monde
28	plus
29	stable
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Avant	ADV	14	advmod
2	d'	ADP	4	mark
3	être	AUX	4	aux:pass
4	abattu	VERB	1	ccomp:obj
5	par	ADP	6	case
6	Tracy	PROPN	4	obl:agent
7	,	PUNCT	1	punct
8	ce	DET	9	det
9	responsable	NOUN	14	nsubj
10	--	PUNCT	11	punct
11	lui-même	PRON	9	nmod
12	artificiel	ADJ	11	amod
13	--	PUNCT	9	punct
14	explique	VERB	0	root
15	vouloir	VERB	14	xcomp:obj
16	remplacer	VERB	15	xcomp:obj
17	les	DET	18	det
18	hommes	NOUN	16	obj
19	importants	ADJ	18	amod
20	par	ADP	22	case
21	des	DET	22	det
22	machines	NOUN	16	obl:arg
23	afin	ADV	16	advmod
24	de	ADP	25	mark
25	créer	VERB	23	ccomp:obj
26	un	DET	27	det
27	monde	NOUN	25	obj
28	plus	ADV	29	advmod
29	stable	ADJ	27	amod
30	.	PUNCT	14	punct