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:
Elle est célèbre grâce à son église abbatiale dont l'architecture et les sculptures du porche sont remarquables, et son trésor, notamment la statue en or de Sainte Foy.
Postion	Tokenization
1	Elle
2	est
3	célèbre
4	grâce
5	à
6	son
7	église
8	abbatiale
9	dont
10	l'
11	architecture
12	et
13	les
14	sculptures
15	du
16	de
17	le
18	porche
19	sont
20	remarquables
21	,
22	et
23	son
24	trésor
25	,
26	notamment
27	la
28	statue
29	en
30	or
31	de
32	Sainte
33	Foy
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	3	nsubj
2	est	AUX	3	cop
3	célèbre	ADJ	0	root
4	grâce	NOUN	7	case
5	à	ADP	4	fixed
6	son	DET	7	det
7	église	NOUN	3	obl:mod
8	abbatiale	ADJ	7	amod
9	dont	PRON	11	nmod
10	l'	DET	11	det
11	architecture	NOUN	19	nsubj
12	et	CCONJ	14	cc
13	les	DET	14	det
14	sculptures	NOUN	11	conj
15	du	_	None	_
16	de	ADP	17	case
17	le	DET	17	det
18	porche	NOUN	14	nmod
19	sont	AUX	19	cop
20	remarquables	ADJ	7	acl:relcl
21	,	PUNCT	23	punct
22	et	CCONJ	23	cc
23	son	DET	23	det
24	trésor	NOUN	7	conj
25	,	PUNCT	27	punct
26	notamment	ADV	27	advmod
27	la	DET	27	det
28	statue	NOUN	23	appos
29	en	ADP	29	case
30	or	NOUN	27	nmod
31	de	ADP	31	case
32	Sainte	PROPN	27	nmod
33	Foy	PROPN	31	flat:name
34	.	PUNCT	3	punct