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 Peugeot Expert/Citroen Jumpy/Fiat Scudo a été massivement utilisé par la Gendarmerie nationale, la Police nationale, et La Poste.
Postion	Tokenization
1	Le
2	Peugeot
3	Expert
4	/
5	Citroen
6	Jumpy
7	/
8	Fiat
9	Scudo
10	a
11	été
12	massivement
13	utilisé
14	par
15	la
16	Gendarmerie
17	nationale
18	,
19	la
20	Police
21	nationale
22	,
23	et
24	La
25	Poste
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	Peugeot	PROPN	13	nsubj:pass
3	Expert	PROPN	2	flat:name
4	/	SYM	5	cc
5	Citroen	PROPN	2	conj
6	Jumpy	PROPN	5	flat:name
7	/	SYM	8	cc
8	Fiat	PROPN	5	conj
9	Scudo	PROPN	8	flat:name
10	a	AUX	13	aux:tense
11	été	AUX	13	aux:pass
12	massivement	ADV	13	advmod
13	utilisé	VERB	0	root
14	par	ADP	16	case
15	la	DET	16	det
16	Gendarmerie	PROPN	13	obl:agent
17	nationale	ADJ	16	amod
18	,	PUNCT	20	punct
19	la	DET	20	det
20	Police	PROPN	16	conj
21	nationale	ADJ	20	amod
22	,	PUNCT	25	punct
23	et	CCONJ	25	cc
24	La	DET	25	det
25	Poste	PROPN	16	conj
26	.	PUNCT	13	punct