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:
La densité de population de Corbeilles, mesurant le nombre de personnes par unité de surface, est passée de 46,2 habitants/km2 en 1968 à 45,6 en 2009.
Postion	Tokenization
1	La
2	densité
3	de
4	population
5	de
6	Corbeilles
7	,
8	mesurant
9	le
10	nombre
11	de
12	personnes
13	par
14	unité
15	de
16	surface
17	,
18	est
19	passée
20	de
21	46,2
22	habitants
23	/
24	km2
25	en
26	1968
27	à
28	45,6
29	en
30	2009
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	densité	NOUN	19	nsubj
3	de	ADP	4	case
4	population	NOUN	2	nmod
5	de	ADP	6	case
6	Corbeilles	PROPN	2	nmod
7	,	PUNCT	8	punct
8	mesurant	VERB	2	acl
9	le	DET	10	det
10	nombre	NOUN	8	obj
11	de	ADP	12	case
12	personnes	NOUN	10	nmod
13	par	ADP	14	case
14	unité	NOUN	10	nmod
15	de	ADP	16	case
16	surface	NOUN	14	nmod
17	,	PUNCT	8	punct
18	est	AUX	19	aux:tense
19	passée	VERB	0	root
20	de	ADP	22	case
21	46,2	NUM	22	nummod
22	habitants	NOUN	19	obl:mod
23	/	SYM	24	case
24	km2	NOUN	22	nmod
25	en	ADP	26	case
26	1968	NUM	22	nmod
27	à	ADP	28	case
28	45,6	NUM	22	nmod
29	en	ADP	30	case
30	2009	NUM	28	nmod
31	.	PUNCT	19	punct