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:
Le fait d'éteindre les lumières du pont a été plus efficace que de poser une barrière mécanique pour limiter cette surprédation, mais moins que le dispositif acoustique.
Postion	Tokenization
1	Le
2	fait
3	d'
4	éteindre
5	les
6	lumières
7	du
8	de
9	le
10	pont
11	a
12	été
13	plus
14	efficace
15	que
16	de
17	poser
18	une
19	barrière
20	mécanique
21	pour
22	limiter
23	cette
24	surprédation
25	,
26	mais
27	moins
28	que
29	le
30	dispositif
31	acoustique
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	fait	NOUN	13	nsubj
3	d'	ADP	4	mark
4	éteindre	VERB	2	acl
5	les	DET	6	det
6	lumières	NOUN	4	obj
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	pont	NOUN	6	nmod
11	a	AUX	13	aux:tense
12	été	AUX	13	cop
13	plus	ADV	13	advmod
14	efficace	ADJ	0	root
15	que	SCONJ	16	mark
16	de	ADP	16	mark
17	poser	VERB	12	ccomp:obj
18	une	DET	18	det
19	barrière	NOUN	16	obj
20	mécanique	ADJ	18	amod
21	pour	ADP	21	mark
22	limiter	VERB	16	advcl
23	cette	DET	23	det
24	surprédation	NOUN	21	obj
25	,	PUNCT	26	punct
26	mais	CCONJ	26	cc
27	moins	ADV	13	conj
28	que	SCONJ	29	case
29	le	DET	29	det
30	dispositif	NOUN	26	obj
31	acoustique	ADJ	29	amod
32	.	PUNCT	13	punct