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:
De fait, les thermes étaient situés juste au-dessous des réservoirs ce qui nous amène à penser qu'ils pourvoyaient aussi en eau les installations thermales.
Postion	Tokenization
1	De
2	fait
3	,
4	les
5	thermes
6	étaient
7	situés
8	juste
9	au-dessous
10	des
11	de
12	les
13	réservoirs
14	ce
15	qui
16	nous
17	amène
18	à
19	penser
20	qu'
21	ils
22	pourvoyaient
23	aussi
24	en
25	eau
26	les
27	installations
28	thermales
29	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	7	advmod
2	fait	NOUN	1	fixed
3	,	PUNCT	1	punct
4	les	DET	5	det
5	thermes	NOUN	7	nsubj
6	étaient	AUX	7	aux:tense
7	situés	VERB	0	root
8	juste	ADV	9	advmod
9	au-dessous	ADV	7	obl:arg
10	des	_	None	_
11	de	ADP	12	case
12	les	DET	12	det
13	réservoirs	NOUN	9	obl:arg
14	ce	PRON	7	parataxis
15	qui	PRON	16	nsubj
16	nous	PRON	16	obl:arg
17	amène	VERB	13	acl:relcl
18	à	ADP	18	mark
19	penser	VERB	16	xcomp:obl
20	qu'	SCONJ	21	mark
21	ils	PRON	21	nsubj
22	pourvoyaient	VERB	18	ccomp:obj
23	aussi	ADV	21	advmod
24	en	ADP	24	case
25	eau	NOUN	21	obl:mod
26	les	DET	26	det
27	installations	NOUN	21	obj
28	thermales	ADJ	26	amod
29	.	PUNCT	7	punct