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 moyen de personnes par ménage tend également à baisser : égal à 2,98 en 1968, il n'est plus que de 2,62 en 1999 et de 2,77 en 2009.
Postion	Tokenization
1	Le
2	nombre
3	moyen
4	de
5	personnes
6	par
7	ménage
8	tend
9	également
10	à
11	baisser
12	:
13	égal
14	à
15	2,98
16	en
17	1968
18	,
19	il
20	n'
21	est
22	plus
23	que
24	de
25	2,62
26	en
27	1999
28	et
29	de
30	2,77
31	en
32	2009
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	nombre	NOUN	8	nsubj
3	moyen	ADJ	2	amod
4	de	ADP	5	case
5	personnes	NOUN	2	nmod
6	par	ADP	7	case
7	ménage	NOUN	2	nmod
8	tend	VERB	0	root
9	également	ADV	8	advmod
10	à	ADP	11	mark
11	baisser	VERB	8	xcomp:obl
12	:	PUNCT	25	punct
13	égal	ADJ	25	advcl
14	à	ADP	15	case
15	2,98	NUM	13	obl:arg
16	en	ADP	17	case
17	1968	NUM	13	obl:mod
18	,	PUNCT	13	punct
19	il	PRON	25	nsubj
20	n'	ADV	25	advmod
21	est	AUX	25	cop
22	plus	ADV	25	advmod
23	que	ADV	25	advmod
24	de	ADP	25	case
25	2,62	NUM	8	parataxis
26	en	ADP	27	case
27	1999	NUM	25	nmod
28	et	CCONJ	30	cc
29	de	ADP	30	case
30	2,77	NUM	25	conj
31	en	ADP	32	case
32	2009	NUM	30	nmod
33	.	PUNCT	8	punct