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 nombre de députés du département de Paris fut ramené de 31 à 21 et les circonscriptions furent supprimées au profit du département.
Postion	Tokenization
1	Le
2	nombre
3	de
4	députés
5	du
6	de
7	le
8	département
9	de
10	Paris
11	fut
12	ramené
13	de
14	31
15	à
16	21
17	et
18	les
19	circonscriptions
20	furent
21	supprimées
22	au
23	à
24	le
25	profit
26	du
27	de
28	le
29	département
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	nombre	NOUN	11	nsubj:pass
3	de	ADP	4	case
4	députés	NOUN	2	nmod
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	département	NOUN	4	nmod
9	de	ADP	9	case
10	Paris	PROPN	7	nmod
11	fut	AUX	11	aux:pass
12	ramené	VERB	0	root
13	de	ADP	13	case
14	31	NUM	11	obl:mod
15	à	ADP	15	case
16	21	NUM	13	nmod
17	et	CCONJ	20	cc
18	les	DET	18	det
19	circonscriptions	NOUN	20	nsubj:pass
20	furent	AUX	20	aux:pass
21	supprimées	VERB	11	conj
22	au	_	None	_
23	à	ADP	23	case
24	le	DET	23	det
25	profit	NOUN	20	obl:mod
26	du	_	None	_
27	de	ADP	26	case
28	le	DET	26	det
29	département	NOUN	23	nmod
30	.	PUNCT	11	punct