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:
Nous avons pu profiter du pont supérieur qui nous offrait une vue sur Paris la nuit avec ses lumières, ses éclairages donnant une toute autre vision de ses célèbres monuments.
Postion	Tokenization
1	Nous
2	avons
3	pu
4	profiter
5	du
6	de
7	le
8	pont
9	supérieur
10	qui
11	nous
12	offrait
13	une
14	vue
15	sur
16	Paris
17	la
18	nuit
19	avec
20	ses
21	lumières
22	,
23	ses
24	éclairages
25	donnant
26	une
27	toute
28	autre
29	vision
30	de
31	ses
32	célèbres
33	monuments
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Nous	PRON	3	nsubj
2	avons	AUX	3	aux:tense
3	pu	VERB	0	root
4	profiter	VERB	3	xcomp:obj
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	pont	NOUN	4	obl:arg
9	supérieur	ADJ	7	amod
10	qui	PRON	11	nsubj
11	nous	PRON	11	obl:arg
12	offrait	VERB	7	acl:relcl
13	une	DET	13	det
14	vue	NOUN	11	obj
15	sur	ADP	15	case
16	Paris	PROPN	13	nmod
17	la	DET	17	det
18	nuit	NOUN	15	nmod
19	avec	ADP	20	case
20	ses	DET	20	det
21	lumières	NOUN	15	nmod
22	,	PUNCT	23	punct
23	ses	DET	23	det
24	éclairages	PROPN	20	conj
25	donnant	VERB	20	acl
26	une	DET	28	det
27	toute	ADV	27	advmod
28	autre	ADJ	28	amod
29	vision	NOUN	24	obj
30	de	ADP	32	case
31	ses	DET	32	det
32	célèbres	ADJ	32	amod
33	monuments	NOUN	28	nmod
34	.	PUNCT	3	punct