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 Sud est considéré comme un bassin dynamique et riche en termes d'industrie et de technologie de pointe, tandis que le Nord est considéré comme le berceau historique de la nation belkanne.
Postion	Tokenization
1	Le
2	Sud
3	est
4	considéré
5	comme
6	un
7	bassin
8	dynamique
9	et
10	riche
11	en
12	termes
13	d'
14	industrie
15	et
16	de
17	technologie
18	de
19	pointe
20	,
21	tandis
22	que
23	le
24	Nord
25	est
26	considéré
27	comme
28	le
29	berceau
30	historique
31	de
32	la
33	nation
34	belkanne
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	Sud	NOUN	4	nsubj:pass
3	est	AUX	4	aux:pass
4	considéré	VERB	0	root
5	comme	ADP	7	case
6	un	DET	7	det
7	bassin	NOUN	4	xcomp:pred
8	dynamique	ADJ	7	amod
9	et	CCONJ	10	cc
10	riche	ADJ	8	conj
11	en	ADP	12	case
12	termes	NOUN	10	obl:mod
13	d'	ADP	14	case
14	industrie	NOUN	12	nmod
15	et	CCONJ	17	cc
16	de	ADP	17	case
17	technologie	NOUN	14	conj
18	de	ADP	19	case
19	pointe	NOUN	17	nmod
20	,	PUNCT	26	punct
21	tandis	ADV	26	mark
22	que	SCONJ	21	fixed
23	le	DET	24	det
24	Nord	NOUN	26	nsubj:pass
25	est	AUX	26	aux:pass
26	considéré	VERB	4	advcl
27	comme	ADP	29	case
28	le	DET	29	det
29	berceau	NOUN	26	xcomp:pred
30	historique	ADJ	29	amod
31	de	ADP	33	case
32	la	DET	33	det
33	nation	NOUN	29	nmod
34	belkanne	ADJ	33	amod
35	.	PUNCT	4	punct