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:
Dans les pays latins, traditionnellement hippophages, beaucoup de chevaux de trait devenus inutiles au travail sont vendus à l'abattoir pour produire de la viande.
Postion	Tokenization
1	Dans
2	les
3	pays
4	latins
5	,
6	traditionnellement
7	hippophages
8	,
9	beaucoup
10	de
11	chevaux
12	de
13	trait
14	devenus
15	inutiles
16	au
17	à
18	le
19	travail
20	sont
21	vendus
22	à
23	l'
24	abattoir
25	pour
26	produire
27	de
28	la
29	viande
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	3	case
2	les	DET	3	det
3	pays	NOUN	20	obl:mod
4	latins	ADJ	3	amod
5	,	PUNCT	7	punct
6	traditionnellement	ADV	7	advmod
7	hippophages	ADJ	3	amod
8	,	PUNCT	7	punct
9	beaucoup	ADV	20	nsubj:pass
10	de	ADP	11	case
11	chevaux	NOUN	9	dep:comp
12	de	ADP	13	case
13	trait	NOUN	11	nmod
14	devenus	VERB	11	acl
15	inutiles	ADJ	14	xcomp:pred
16	au	_	None	_
17	à	ADP	18	case
18	le	DET	18	det
19	travail	NOUN	15	obl:arg
20	sont	AUX	20	aux:pass
21	vendus	VERB	0	root
22	à	ADP	23	case
23	l'	DET	23	det
24	abattoir	NOUN	20	obl:arg
25	pour	ADP	25	mark
26	produire	VERB	20	advcl
27	de	ADP	28	det
28	la	DET	26	fixed
29	viande	NOUN	25	obj
30	.	PUNCT	20	punct