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:
Plus tard, il tente de faire publier une nouvelle édition de ses œuvres, mais même avec son soutien ils ne réussissent pas à s'y intéresser assez pour mener l'entreprise à terme.
Postion	Tokenization
1	Plus
2	tard
3	,
4	il
5	tente
6	de
7	faire
8	publier
9	une
10	nouvelle
11	édition
12	de
13	ses
14	œuvres
15	,
16	mais
17	même
18	avec
19	son
20	soutien
21	ils
22	ne
23	réussissent
24	pas
25	à
26	s'
27	y
28	intéresser
29	assez
30	pour
31	mener
32	l'
33	entreprise
34	à
35	terme
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Plus	ADV	2	advmod
2	tard	ADV	5	advmod
3	,	PUNCT	2	punct
4	il	PRON	5	nsubj
5	tente	VERB	0	root
6	de	ADP	8	mark
7	faire	AUX	8	aux:caus
8	publier	VERB	5	xcomp:obj
9	une	DET	11	det
10	nouvelle	ADJ	11	amod
11	édition	NOUN	8	obj
12	de	ADP	14	case
13	ses	DET	14	det
14	œuvres	NOUN	11	nmod
15	,	PUNCT	23	punct
16	mais	CCONJ	23	cc
17	même	ADV	20	advmod
18	avec	ADP	20	case
19	son	DET	20	det
20	soutien	NOUN	23	obl:mod
21	ils	PRON	23	nsubj
22	ne	ADV	23	advmod
23	réussissent	VERB	5	conj
24	pas	ADV	23	advmod
25	à	ADP	28	mark
26	s'	PRON	28	obj
27	y	PRON	28	obl:arg
28	intéresser	VERB	23	xcomp:obl
29	assez	ADV	28	advmod
30	pour	ADP	31	mark
31	mener	VERB	28	advcl
32	l'	DET	33	det
33	entreprise	NOUN	31	obj
34	à	ADP	31	obl:arg
35	terme	NOUN	34	fixed
36	.	PUNCT	5	punct