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:
Le gouvernement marocain a besoin de nourrir la tension dans la région pour imposer ses choix à l'Europe et à la communauté internationale en général.
Postion	Tokenization
1	Le
2	gouvernement
3	marocain
4	a
5	besoin
6	de
7	nourrir
8	la
9	tension
10	dans
11	la
12	région
13	pour
14	imposer
15	ses
16	choix
17	à
18	l'
19	Europe
20	et
21	à
22	la
23	communauté
24	internationale
25	en
26	général
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	gouvernement	NOUN	4	nsubj
3	marocain	ADJ	2	amod
4	a	VERB	0	root
5	besoin	NOUN	4	obj:lvc
6	de	ADP	7	mark
7	nourrir	VERB	5	xcomp:obl
8	la	DET	9	det
9	tension	NOUN	7	obj
10	dans	ADP	12	case
11	la	DET	12	det
12	région	NOUN	7	obl:mod
13	pour	ADP	14	mark
14	imposer	VERB	4	advcl
15	ses	DET	16	det
16	choix	NOUN	14	obj
17	à	ADP	19	case
18	l'	DET	19	det
19	Europe	PROPN	14	obl:arg
20	et	CCONJ	23	cc
21	à	ADP	23	case
22	la	DET	23	det
23	communauté	NOUN	19	conj
24	internationale	ADJ	23	amod
25	en	ADP	23	advmod
26	général	ADJ	25	fixed
27	.	PUNCT	4	punct