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:
La Garonne était utilisée pour le transport de marchandises sur des barges à fond plat et sur les ancêtres des gabares en aval de Toulouse.
Postion	Tokenization
1	La
2	Garonne
3	était
4	utilisée
5	pour
6	le
7	transport
8	de
9	marchandises
10	sur
11	des
12	barges
13	à
14	fond
15	plat
16	et
17	sur
18	les
19	ancêtres
20	des
21	de
22	les
23	gabares
24	en
25	aval
26	de
27	Toulouse
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Garonne	PROPN	4	nsubj
3	était	AUX	4	aux:tense
4	utilisée	VERB	0	root
5	pour	ADP	7	case
6	le	DET	7	det
7	transport	NOUN	4	obl:mod
8	de	ADP	9	case
9	marchandises	NOUN	7	nmod
10	sur	ADP	12	case
11	des	DET	12	det
12	barges	NOUN	7	nmod
13	à	ADP	14	case
14	fond	NOUN	12	nmod
15	plat	ADJ	14	amod
16	et	CCONJ	19	cc
17	sur	ADP	19	case
18	les	DET	19	det
19	ancêtres	NOUN	12	conj
20	des	_	None	_
21	de	ADP	22	case
22	les	DET	22	det
23	gabares	NOUN	19	nmod
24	en	ADP	24	case
25	aval	NOUN	7	nmod
26	de	ADP	26	case
27	Toulouse	PROPN	24	nmod
28	.	PUNCT	4	punct