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:
Ayant passé son enfance à Brest (Finistère), il fut l'élève de Théodore Gudin qui fut le premier peintre officiel de la Marine française, d'où son amour pour les paysages marins.
Postion	Tokenization
1	Ayant
2	passé
3	son
4	enfance
5	à
6	Brest
7	(
8	Finistère
9	)
10	,
11	il
12	fut
13	l'
14	élève
15	de
16	Théodore
17	Gudin
18	qui
19	fut
20	le
21	premier
22	peintre
23	officiel
24	de
25	la
26	Marine
27	française
28	,
29	d'
30	où
31	son
32	amour
33	pour
34	les
35	paysages
36	marins
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayant	AUX	2	aux:tense
2	passé	VERB	14	advcl
3	son	DET	4	det
4	enfance	NOUN	2	obj
5	à	ADP	6	case
6	Brest	PROPN	2	obl:mod
7	(	PUNCT	8	punct
8	Finistère	PROPN	6	nmod
9	)	PUNCT	8	punct
10	,	PUNCT	2	punct
11	il	PRON	14	nsubj
12	fut	AUX	14	cop
13	l'	DET	14	det
14	élève	NOUN	0	root
15	de	ADP	16	case
16	Théodore	PROPN	14	nmod
17	Gudin	PROPN	16	flat:name
18	qui	PRON	22	nsubj
19	fut	AUX	22	cop
20	le	DET	22	det
21	premier	ADJ	22	amod
22	peintre	NOUN	16	acl:relcl
23	officiel	ADJ	22	amod
24	de	ADP	26	case
25	la	DET	26	det
26	Marine	NOUN	22	nmod
27	française	ADJ	26	amod
28	,	PUNCT	32	punct
29	d'	ADP	32	case
30	où	ADV	29	fixed
31	son	DET	32	det
32	amour	NOUN	14	obl:mod
33	pour	ADP	35	case
34	les	DET	35	det
35	paysages	NOUN	32	nmod
36	marins	ADJ	35	amod
37	.	PUNCT	14	punct