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:
Des dizaines de radars de longue et moyenne portée, soutenus par une aviation militaire et des milliers de chars et de blindés, surveillent tout déplacements sur des dizaines de Kms en profondeur.
Postion	Tokenization
1	Des
2	dizaines
3	de
4	radars
5	de
6	longue
7	et
8	moyenne
9	portée
10	,
11	soutenus
12	par
13	une
14	aviation
15	militaire
16	et
17	des
18	milliers
19	de
20	chars
21	et
22	de
23	blindés
24	,
25	surveillent
26	tout
27	déplacements
28	sur
29	des
30	dizaines
31	de
32	Kms
33	en
34	profondeur
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Des	DET	2	det
2	dizaines	NOUN	25	nsubj
3	de	ADP	4	case
4	radars	NOUN	2	nmod
5	de	ADP	9	case
6	longue	ADJ	9	amod
7	et	CCONJ	8	cc
8	moyenne	ADJ	6	conj
9	portée	NOUN	4	nmod
10	,	PUNCT	11	punct
11	soutenus	VERB	4	acl
12	par	ADP	14	case
13	une	DET	14	det
14	aviation	NOUN	11	obl:agent
15	militaire	ADJ	14	amod
16	et	CCONJ	18	cc
17	des	DET	18	det
18	milliers	NOUN	14	conj
19	de	ADP	20	case
20	chars	NOUN	18	nmod
21	et	CCONJ	23	cc
22	de	ADP	23	case
23	blindés	NOUN	20	conj
24	,	PUNCT	2	punct
25	surveillent	VERB	0	root
26	tout	DET	27	det
27	déplacements	NOUN	25	obj
28	sur	ADP	30	case
29	des	DET	30	det
30	dizaines	NOUN	25	obl:mod
31	de	ADP	32	case
32	Kms	NOUN	30	nmod
33	en	ADP	34	case
34	profondeur	NOUN	32	nmod
35	.	PUNCT	25	punct