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:
Le ministère a de son côté précisé que 2 000 militaires avaient été mobilisés pour participer à la lutte contre les incendies qui touchent le secteur de Moscou et les régions environnantes.
Postion	Tokenization
1	Le
2	ministère
3	a
4	de
5	son
6	côté
7	précisé
8	que
9	2 000
10	militaires
11	avaient
12	été
13	mobilisés
14	pour
15	participer
16	à
17	la
18	lutte
19	contre
20	les
21	incendies
22	qui
23	touchent
24	le
25	secteur
26	de
27	Moscou
28	et
29	les
30	régions
31	environnantes
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	ministère	NOUN	7	nsubj
3	a	AUX	7	aux:tense
4	de	ADP	6	case
5	son	DET	6	det
6	côté	NOUN	7	obl:mod
7	précisé	VERB	0	root
8	que	SCONJ	13	mark
9	2 000	NUM	10	nummod
10	militaires	NOUN	13	nsubj:pass
11	avaient	AUX	13	aux:tense
12	été	AUX	13	aux:pass
13	mobilisés	VERB	7	ccomp:obj
14	pour	ADP	15	mark
15	participer	VERB	13	advcl
16	à	ADP	18	case
17	la	DET	18	det
18	lutte	NOUN	15	obl:arg
19	contre	ADP	21	case
20	les	DET	21	det
21	incendies	NOUN	18	nmod
22	qui	PRON	23	nsubj
23	touchent	VERB	21	acl:relcl
24	le	DET	25	det
25	secteur	NOUN	23	obj
26	de	ADP	27	case
27	Moscou	PROPN	25	nmod
28	et	CCONJ	30	cc
29	les	DET	30	det
30	régions	NOUN	25	conj
31	environnantes	ADJ	30	amod
32	.	PUNCT	7	punct