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:
« Comme les chèvres qui produisent un lait de qualité, la vache d'Algérie, un label recherché, est de plus en plus prisée par les Marocains mais aussi par les émigrés du Maroc qui font des voyages réguliers entre le Maroc et l'Europe et ramènent avec eux de grandes quantités de viande rouge algérienne », nous dira un boucher de la ville de Maghnia.
Postion	Tokenization
1	«
2	Comme
3	les
4	chèvres
5	qui
6	produisent
7	un
8	lait
9	de
10	qualité
11	,
12	la
13	vache
14	d'
15	Algérie
16	,
17	un
18	label
19	recherché
20	,
21	est
22	de
23	plus
24	en
25	plus
26	prisée
27	par
28	les
29	Marocains
30	mais
31	aussi
32	par
33	les
34	émigrés
35	du
36	de
37	le
38	Maroc
39	qui
40	font
41	des
42	voyages
43	réguliers
44	entre
45	le
46	Maroc
47	et
48	l'
49	Europe
50	et
51	ramènent
52	avec
53	eux
54	de
55	grandes
56	quantités
57	de
58	viande
59	rouge
60	algérienne
61	»
62	,
63	nous
64	dira
65	un
66	boucher
67	de
68	la
69	ville
70	de
71	Maghnia
72	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	26	punct
2	Comme	ADP	4	case
3	les	DET	4	det
4	chèvres	NOUN	13	nmod
5	qui	PRON	6	nsubj
6	produisent	VERB	4	acl:relcl
7	un	DET	8	det
8	lait	NOUN	6	obj
9	de	ADP	10	case
10	qualité	NOUN	8	nmod
11	,	PUNCT	4	punct
12	la	DET	13	det
13	vache	NOUN	26	nsubj:pass
14	d'	ADP	15	case
15	Algérie	PROPN	13	nmod
16	,	PUNCT	18	punct
17	un	DET	18	det
18	label	NOUN	13	appos
19	recherché	ADJ	18	amod
20	,	PUNCT	18	punct
21	est	AUX	26	aux:pass
22	de	ADP	26	advmod
23	plus	ADV	22	fixed
24	en	ADP	22	fixed
25	plus	ADV	22	fixed
26	prisée	VERB	0	root
27	par	ADP	29	case
28	les	DET	29	det
29	Marocains	NOUN	26	obl:agent
30	mais	CCONJ	34	cc
31	aussi	ADV	34	advmod
32	par	ADP	34	case
33	les	DET	34	det
34	émigrés	NOUN	29	conj
35	du	_	None	_
36	de	ADP	37	case
37	le	DET	37	det
38	Maroc	PROPN	34	nmod
39	qui	PRON	39	nsubj
40	font	VERB	34	acl:relcl
41	des	DET	41	det
42	voyages	NOUN	39	obj
43	réguliers	ADJ	41	amod
44	entre	ADP	45	case
45	le	DET	45	det
46	Maroc	PROPN	41	nmod
47	et	CCONJ	48	cc
48	l'	DET	48	det
49	Europe	PROPN	45	conj
50	et	CCONJ	50	cc
51	ramènent	VERB	39	conj
52	avec	ADP	52	case
53	eux	PRON	50	obl:mod
54	de	DET	55	det
55	grandes	ADJ	55	amod
56	quantités	NOUN	50	obj
57	de	ADP	57	case
58	viande	NOUN	55	nmod
59	rouge	ADJ	57	amod
60	algérienne	ADJ	57	amod
61	»	PUNCT	26	punct
62	,	PUNCT	26	punct
63	nous	PRON	63	obl:arg
64	dira	VERB	26	parataxis
65	un	DET	65	det
66	boucher	NOUN	63	nsubj
67	de	ADP	68	case
68	la	DET	68	det
69	ville	NOUN	65	nmod
70	de	ADP	70	case
71	Maghnia	PROPN	68	nmod
72	.	PUNCT	26	punct