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 Fondation compassionnelle Fo Guang Shan (« Fo Guang Shan Compassion Foundation »), a été créée dans le respect de l'esprit compatissant des intentions originelles de Bouddha.
Postion	Tokenization
1	La
2	Fondation
3	compassionnelle
4	Fo
5	Guang
6	Shan
7	(
8	«
9	Fo
10	Guang
11	Shan
12	Compassion
13	Foundation
14	»
15	)
16	,
17	a
18	été
19	créée
20	dans
21	le
22	respect
23	de
24	l'
25	esprit
26	compatissant
27	des
28	de
29	les
30	intentions
31	originelles
32	de
33	Bouddha
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Fondation	NOUN	19	nsubj:pass
3	compassionnelle	ADJ	2	amod
4	Fo	PROPN	2	appos
5	Guang	PROPN	4	flat:name
6	Shan	PROPN	5	flat:name
7	(	PUNCT	9	punct
8	«	PUNCT	9	punct
9	Fo	PROPN	2	appos
10	Guang	PROPN	9	flat:name
11	Shan	PROPN	10	flat:name
12	Compassion	PROPN	11	flat:name
13	Foundation	PROPN	12	flat:name
14	»	PUNCT	9	punct
15	)	PUNCT	9	punct
16	,	PUNCT	2	punct
17	a	AUX	19	aux:tense
18	été	AUX	19	aux:pass
19	créée	VERB	0	root
20	dans	ADP	22	case
21	le	DET	22	det
22	respect	NOUN	19	obl:mod
23	de	ADP	25	case
24	l'	DET	25	det
25	esprit	NOUN	22	nmod
26	compatissant	ADJ	25	amod
27	des	_	None	_
28	de	ADP	29	case
29	les	DET	29	det
30	intentions	NOUN	25	nmod
31	originelles	ADJ	29	amod
32	de	ADP	32	case
33	Bouddha	PROPN	29	nmod
34	.	PUNCT	19	punct