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:
Lourdement endetté (160 milliards d'euros fin 2010), le Portugal a fini l'année 2010 en récession avec un déficit public à 9,1% du PIB et un chômage à plus de 11%.
Postion	Tokenization
1	Lourdement
2	endetté
3	(
4	160
5	milliards
6	d'
7	euros
8	fin
9	2010
10	)
11	,
12	le
13	Portugal
14	a
15	fini
16	l'
17	année
18	2010
19	en
20	récession
21	avec
22	un
23	déficit
24	public
25	à
26	9,1
27	%
28	du
29	de
30	le
31	PIB
32	et
33	un
34	chômage
35	à
36	plus
37	de
38	11
39	%
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Lourdement	ADV	2	advmod
2	endetté	VERB	15	advcl
3	(	PUNCT	5	punct
4	160	NUM	5	nummod
5	milliards	NOUN	2	parataxis
6	d'	ADP	7	case
7	euros	NOUN	5	nmod
8	fin	NOUN	5	nmod
9	2010	NUM	8	nmod
10	)	PUNCT	5	punct
11	,	PUNCT	2	punct
12	le	DET	13	det
13	Portugal	PROPN	15	nsubj
14	a	AUX	15	aux:tense
15	fini	VERB	0	root
16	l'	DET	17	det
17	année	NOUN	15	obj
18	2010	NUM	17	nmod
19	en	ADP	20	case
20	récession	NOUN	15	obl:mod
21	avec	ADP	23	case
22	un	DET	23	det
23	déficit	NOUN	15	obl:mod
24	public	ADJ	23	amod
25	à	ADP	27	case
26	9,1	NUM	27	nummod
27	%	SYM	23	nmod
28	du	_	None	_
29	de	ADP	30	case
30	le	DET	30	det
31	PIB	NOUN	27	nmod
32	et	CCONJ	33	cc
33	un	DET	33	det
34	chômage	NOUN	23	conj
35	à	ADP	35	case
36	plus	ADV	33	nmod
37	de	ADP	38	case
38	11	NUM	38	nummod
39	%	SYM	35	dep:comp
40	.	PUNCT	15	punct