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:
Une équipe scientifique de la gendarmerie s'était déplacée juste après le passage des pompiers, des doutes étant rapidement survenus sur l'origine de cet incendie.
Postion	Tokenization
1	Une
2	équipe
3	scientifique
4	de
5	la
6	gendarmerie
7	s'
8	était
9	déplacée
10	juste
11	après
12	le
13	passage
14	des
15	de
16	les
17	pompiers
18	,
19	des
20	doutes
21	étant
22	rapidement
23	survenus
24	sur
25	l'
26	origine
27	de
28	cet
29	incendie
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	2	det
2	équipe	NOUN	9	nsubj
3	scientifique	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	gendarmerie	NOUN	2	nmod
7	s'	PRON	9	obj
8	était	AUX	9	aux:tense
9	déplacée	VERB	0	root
10	juste	ADV	13	advmod
11	après	ADP	13	case
12	le	DET	13	det
13	passage	NOUN	9	obl:mod
14	des	_	None	_
15	de	ADP	16	case
16	les	DET	16	det
17	pompiers	NOUN	13	nmod
18	,	PUNCT	22	punct
19	des	DET	19	det
20	doutes	NOUN	22	nsubj
21	étant	AUX	22	aux:tense
22	rapidement	ADV	22	advmod
23	survenus	VERB	9	advcl
24	sur	ADP	25	case
25	l'	DET	25	det
26	origine	NOUN	22	obl:mod
27	de	ADP	28	case
28	cet	DET	28	det
29	incendie	NOUN	25	nmod
30	.	PUNCT	9	punct