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:
Car le gouvernement marocain regrette le temps béni où la manne financière apportée par les touristes algériens qui affluaient par centaines de milliers faisait vivre toute cette région et bien au-delà.
Postion	Tokenization
1	Car
2	le
3	gouvernement
4	marocain
5	regrette
6	le
7	temps
8	béni
9	où
10	la
11	manne
12	financière
13	apportée
14	par
15	les
16	touristes
17	algériens
18	qui
19	affluaient
20	par
21	centaines
22	de
23	milliers
24	faisait
25	vivre
26	toute
27	cette
28	région
29	et
30	bien
31	au-delà
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Car	CCONJ	5	cc
2	le	DET	3	det
3	gouvernement	NOUN	5	nsubj
4	marocain	ADJ	3	amod
5	regrette	VERB	0	root
6	le	DET	7	det
7	temps	NOUN	5	obj
8	béni	ADJ	7	amod
9	où	ADV	25	advmod
10	la	DET	11	det
11	manne	NOUN	25	nsubj:caus
12	financière	ADJ	11	amod
13	apportée	VERB	11	acl
14	par	ADP	16	case
15	les	DET	16	det
16	touristes	NOUN	13	obl:agent
17	algériens	ADJ	16	amod
18	qui	PRON	19	nsubj
19	affluaient	VERB	16	acl:relcl
20	par	ADP	21	case
21	centaines	NOUN	19	obl:mod
22	de	ADP	23	case
23	milliers	NOUN	21	nmod
24	faisait	AUX	25	aux:caus
25	vivre	VERB	7	acl:relcl
26	toute	ADJ	28	amod
27	cette	DET	28	det
28	région	NOUN	25	obj:agent
29	et	CCONJ	31	cc
30	bien	ADV	31	advmod
31	au-delà	ADV	28	conj
32	.	PUNCT	5	punct