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:
Les constructions neuves sont bien plus présentes que la moyenne française : en 2007, 29,8% des résidences principales dataient de 1990 et plus contre 10,4% en France.
Postion	Tokenization
1	Les
2	constructions
3	neuves
4	sont
5	bien
6	plus
7	présentes
8	que
9	la
10	moyenne
11	française
12	:
13	en
14	2007
15	,
16	29,8
17	%
18	des
19	de
20	les
21	résidences
22	principales
23	dataient
24	de
25	1990
26	et
27	plus
28	contre
29	10,4
30	%
31	en
32	France
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	constructions	NOUN	7	nsubj
3	neuves	ADJ	2	amod
4	sont	AUX	7	cop
5	bien	ADV	6	advmod
6	plus	ADV	7	advmod
7	présentes	ADJ	0	root
8	que	SCONJ	10	case
9	la	DET	10	det
10	moyenne	NOUN	6	obj
11	française	ADJ	10	amod
12	:	PUNCT	22	punct
13	en	ADP	14	case
14	2007	NUM	22	obl:mod
15	,	PUNCT	14	punct
16	29,8	NUM	17	nummod
17	%	SYM	22	nsubj
18	des	_	None	_
19	de	ADP	20	case
20	les	DET	20	det
21	résidences	NOUN	17	nmod
22	principales	ADJ	20	amod
23	dataient	VERB	7	conj
24	de	ADP	24	case
25	1990	NUM	22	obl:arg
26	et	CCONJ	26	cc
27	plus	ADV	24	conj
28	contre	ADP	29	case
29	10,4	NUM	29	nummod
30	%	SYM	22	obl:mod
31	en	ADP	31	case
32	France	PROPN	29	nmod
33	.	PUNCT	7	punct