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 Préfet Jacques Géraut vient de publier le 31 mars 2010 un très long communiqué dans lequel il retrace froidement l'histoire "administrative" de ce cas particulier.
Postion	Tokenization
1	Le
2	Préfet
3	Jacques
4	Géraut
5	vient
6	de
7	publier
8	le
9	31
10	mars
11	2010
12	un
13	très
14	long
15	communiqué
16	dans
17	lequel
18	il
19	retrace
20	froidement
21	l'
22	histoire
23	"
24	administrative
25	"
26	de
27	ce
28	cas
29	particulier
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	Préfet	PROPN	5	nsubj
3	Jacques	PROPN	2	appos
4	Géraut	PROPN	3	flat:name
5	vient	VERB	0	root
6	de	ADP	7	mark
7	publier	VERB	5	xcomp:obl
8	le	DET	9	det
9	31	NUM	7	obl:mod
10	mars	NOUN	9	nmod
11	2010	NUM	10	nmod
12	un	DET	15	det
13	très	ADV	14	advmod
14	long	ADJ	15	amod
15	communiqué	NOUN	7	obj
16	dans	ADP	17	case
17	lequel	PRON	19	obl:mod
18	il	PRON	19	nsubj
19	retrace	VERB	15	acl:relcl
20	froidement	ADV	19	advmod
21	l'	DET	22	det
22	histoire	NOUN	19	obj
23	"	PUNCT	24	punct
24	administrative	ADJ	22	amod
25	"	PUNCT	24	punct
26	de	ADP	28	case
27	ce	DET	28	det
28	cas	NOUN	22	nmod
29	particulier	ADJ	28	amod
30	.	PUNCT	5	punct