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:
Après avoir lu la traduction en français, par l'Abbé Joachim le Grand, il estime qu'une version plus condensée serait « utile et profitable ».
Postion	Tokenization
1	Après
2	avoir
3	lu
4	la
5	traduction
6	en
7	français
8	,
9	par
10	l'
11	Abbé
12	Joachim
13	le
14	Grand
15	,
16	il
17	estime
18	qu'
19	une
20	version
21	plus
22	condensée
23	serait
24	«
25	utile
26	et
27	profitable
28	»
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	mark
2	avoir	AUX	3	aux:tense
3	lu	VERB	17	advcl
4	la	DET	5	det
5	traduction	NOUN	3	obj
6	en	ADP	7	case
7	français	NOUN	5	nmod
8	,	PUNCT	11	punct
9	par	ADP	11	case
10	l'	DET	11	det
11	Abbé	NOUN	5	nmod
12	Joachim	PROPN	11	appos
13	le	DET	14	det
14	Grand	ADJ	12	nmod
15	,	PUNCT	3	punct
16	il	PRON	17	nsubj
17	estime	VERB	0	root
18	qu'	SCONJ	25	mark
19	une	DET	20	det
20	version	NOUN	25	nsubj
21	plus	ADV	22	advmod
22	condensée	ADJ	20	amod
23	serait	AUX	25	cop
24	«	PUNCT	25	punct
25	utile	ADJ	17	ccomp:obj
26	et	CCONJ	27	cc
27	profitable	ADJ	25	conj
28	»	PUNCT	27	punct
29	.	PUNCT	17	punct