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:
Et si nous pensions que la vente de matériel de haute technologie au Maroc allait porter préjudice à la stabilité dans la région, nous ne l'aurions pas fait.
Postion	Tokenization
1	Et
2	si
3	nous
4	pensions
5	que
6	la
7	vente
8	de
9	matériel
10	de
11	haute
12	technologie
13	au
14	à
15	le
16	Maroc
17	allait
18	porter
19	préjudice
20	à
21	la
22	stabilité
23	dans
24	la
25	région
26	,
27	nous
28	ne
29	l'
30	aurions
31	pas
32	fait
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Et	CCONJ	31	cc
2	si	SCONJ	4	mark
3	nous	PRON	4	nsubj
4	pensions	VERB	31	advcl
5	que	SCONJ	16	mark
6	la	DET	7	det
7	vente	NOUN	16	nsubj
8	de	ADP	9	case
9	matériel	NOUN	7	nmod
10	de	ADP	12	case
11	haute	ADJ	12	amod
12	technologie	NOUN	9	nmod
13	au	_	None	_
14	à	ADP	15	case
15	le	DET	15	det
16	Maroc	PROPN	7	nmod
17	allait	VERB	4	ccomp:obj
18	porter	VERB	16	xcomp:obj
19	préjudice	NOUN	17	obj
20	à	ADP	21	case
21	la	DET	21	det
22	stabilité	NOUN	17	obl:arg
23	dans	ADP	24	case
24	la	DET	24	det
25	région	NOUN	21	nmod
26	,	PUNCT	4	punct
27	nous	PRON	31	nsubj
28	ne	ADV	31	advmod
29	l'	PRON	31	obj
30	aurions	AUX	31	aux:tense
31	pas	ADV	31	advmod
32	fait	VERB	0	root
33	.	PUNCT	31	punct