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 fond est ainsi déterminé par des points discrets, en prenant en compte l'origine physique du fond et les pics d'absorption.
Postion	Tokenization
1	Le
2	fond
3	est
4	ainsi
5	déterminé
6	par
7	des
8	points
9	discrets
10	,
11	en
12	prenant
13	en
14	compte
15	l'
16	origine
17	physique
18	du
19	de
20	le
21	fond
22	et
23	les
24	pics
25	d'
26	absorption
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	fond	NOUN	5	nsubj:pass
3	est	AUX	5	aux:pass
4	ainsi	ADV	5	advmod
5	déterminé	VERB	0	root
6	par	ADP	8	case
7	des	DET	8	det
8	points	NOUN	5	obl:agent
9	discrets	ADJ	8	amod
10	,	PUNCT	12	punct
11	en	ADP	12	mark
12	prenant	VERB	5	advcl
13	en	ADP	14	case
14	compte	NOUN	12	obl:mod
15	l'	DET	16	det
16	origine	NOUN	12	obj
17	physique	ADJ	16	amod
18	du	_	None	_
19	de	ADP	20	case
20	le	DET	20	det
21	fond	NOUN	16	nmod
22	et	CCONJ	23	cc
23	les	DET	23	det
24	pics	NOUN	20	conj
25	d'	ADP	25	case
26	absorption	NOUN	23	nmod
27	.	PUNCT	5	punct