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 chute du dollar a entraîné une légère baisse du coût de la vie dans la plupart des villes d'Amérique du Nord", explique ECA.
Postion	Tokenization
1	"
2	La
3	chute
4	du
5	de
6	le
7	dollar
8	a
9	entraîné
10	une
11	légère
12	baisse
13	du
14	de
15	le
16	coût
17	de
18	la
19	vie
20	dans
21	la
22	plupart
23	des
24	de
25	les
26	villes
27	d'
28	Amérique
29	du
30	de
31	le
32	Nord
33	"
34	,
35	explique
36	ECA
37	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	La	DET	3	det
3	chute	NOUN	8	nsubj
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	dollar	NOUN	3	nmod
8	a	AUX	8	aux:tense
9	entraîné	VERB	0	root
10	une	DET	11	det
11	légère	ADJ	11	amod
12	baisse	NOUN	8	obj
13	du	_	None	_
14	de	ADP	14	case
15	le	DET	14	det
16	coût	NOUN	11	nmod
17	de	ADP	17	case
18	la	DET	17	det
19	vie	NOUN	14	nmod
20	dans	ADP	20	case
21	la	DET	20	det
22	plupart	NOUN	8	obl:mod
23	des	_	None	_
24	de	ADP	23	case
25	les	DET	23	det
26	villes	NOUN	20	nmod
27	d'	ADP	25	case
28	Amérique	PROPN	23	nmod
29	du	_	None	_
30	de	ADP	28	case
31	le	DET	28	det
32	Nord	NOUN	25	nmod
33	"	PUNCT	8	punct
34	,	PUNCT	8	punct
35	explique	VERB	8	parataxis
36	ECA	PROPN	31	nsubj
37	.	PUNCT	8	punct