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:
La Banque mondiale concéda un prêt à taux zéro s'élevant à 8 millions de dollars pour l'entretien et la protection du Bouddha.
Postion	Tokenization
1	La
2	Banque
3	mondiale
4	concéda
5	un
6	prêt
7	à
8	taux
9	zéro
10	s'
11	élevant
12	à
13	8
14	millions
15	de
16	dollars
17	pour
18	l'
19	entretien
20	et
21	la
22	protection
23	du
24	de
25	le
26	Bouddha
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Banque	NOUN	4	nsubj
3	mondiale	ADJ	2	amod
4	concéda	VERB	0	root
5	un	DET	6	det
6	prêt	NOUN	4	obj
7	à	ADP	8	case
8	taux	NOUN	6	nmod
9	zéro	NUM	8	nmod
10	s'	PRON	11	dep:comp
11	élevant	VERB	6	acl
12	à	ADP	14	case
13	8	NUM	14	nummod
14	millions	NOUN	11	obl:arg
15	de	ADP	16	case
16	dollars	NOUN	14	nmod
17	pour	ADP	19	case
18	l'	DET	19	det
19	entretien	NOUN	4	obl:mod
20	et	CCONJ	22	cc
21	la	DET	22	det
22	protection	NOUN	19	conj
23	du	_	None	_
24	de	ADP	25	case
25	le	DET	25	det
26	Bouddha	PROPN	19	nmod
27	.	PUNCT	4	punct