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:
Lazare Boldi, fameux peintre à l'huile et à fresque, naquit à Pistoie en 1624, et mourut en 1703.
Postion	Tokenization
1	Lazare
2	Boldi
3	,
4	fameux
5	peintre
6	à
7	l'
8	huile
9	et
10	à
11	fresque
12	,
13	naquit
14	à
15	Pistoie
16	en
17	1624
18	,
19	et
20	mourut
21	en
22	1703
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Lazare	PROPN	13	nsubj
2	Boldi	PROPN	1	flat:name
3	,	PUNCT	5	punct
4	fameux	ADJ	5	amod
5	peintre	NOUN	1	appos
6	à	ADP	8	case
7	l'	DET	8	det
8	huile	NOUN	5	nmod
9	et	CCONJ	11	cc
10	à	ADP	11	case
11	fresque	NOUN	8	conj
12	,	PUNCT	5	punct
13	naquit	VERB	0	root
14	à	ADP	15	case
15	Pistoie	PROPN	13	obl:arg
16	en	ADP	17	case
17	1624	NUM	13	obl:arg
18	,	PUNCT	20	punct
19	et	CCONJ	20	cc
20	mourut	VERB	13	conj
21	en	ADP	22	case
22	1703	NUM	20	obl:arg
23	.	PUNCT	13	punct