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:
Dix ans après, en 2001, la population rurale avait très légèrement décru à 290.918 personnes, c'est-à-dire 30,05% de la population de la province.
Postion	Tokenization
1	Dix
2	ans
3	après
4	,
5	en
6	2001
7	,
8	la
9	population
10	rurale
11	avait
12	très
13	légèrement
14	décru
15	à
16	290.918
17	personnes
18	,
19	c'est-à-dire
20	30,05
21	%
22	de
23	la
24	population
25	de
26	la
27	province
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Dix	NUM	2	nummod
2	ans	NOUN	3	obl:mod
3	après	ADV	11	advmod
4	,	PUNCT	3	punct
5	en	ADP	6	case
6	2001	NUM	11	obl:mod
7	,	PUNCT	6	punct
8	la	DET	9	det
9	population	NOUN	11	nsubj
10	rurale	ADJ	9	amod
11	avait	VERB	0	root
12	très	ADV	13	advmod
13	légèrement	ADV	11	advmod
14	décru	VERB	11	xcomp:pred
15	à	ADP	17	case
16	290.918	NUM	17	nummod
17	personnes	NOUN	14	obl:arg
18	,	PUNCT	21	punct
19	c'est-à-dire	ADV	21	cc
20	30,05	NUM	21	nummod
21	%	SYM	17	conj
22	de	ADP	24	case
23	la	DET	24	det
24	population	NOUN	21	nmod
25	de	ADP	27	case
26	la	DET	27	det
27	province	NOUN	24	nmod
28	.	PUNCT	11	punct