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:
Ces effets bénéfiques disparaissent si le lait a été chauffé, on peut donc mettre en évidence l'action des bactéries vivantes pour pallier l'absence de lactase intestinale.
Postion	Tokenization
1	Ces
2	effets
3	bénéfiques
4	disparaissent
5	si
6	le
7	lait
8	a
9	été
10	chauffé
11	,
12	on
13	peut
14	donc
15	mettre
16	en
17	évidence
18	l'
19	action
20	des
21	de
22	les
23	bactéries
24	vivantes
25	pour
26	pallier
27	l'
28	absence
29	de
30	lactase
31	intestinale
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ces	DET	2	det
2	effets	NOUN	4	nsubj
3	bénéfiques	ADJ	2	amod
4	disparaissent	VERB	0	root
5	si	SCONJ	10	mark
6	le	DET	7	det
7	lait	NOUN	10	nsubj:pass
8	a	AUX	10	aux:tense
9	été	AUX	10	aux:pass
10	chauffé	VERB	4	advcl
11	,	PUNCT	13	punct
12	on	PRON	13	nsubj
13	peut	VERB	4	conj
14	donc	ADV	13	advmod
15	mettre	VERB	13	xcomp:obj
16	en	ADP	17	case
17	évidence	PROPN	15	obl:mod
18	l'	DET	19	det
19	action	NOUN	15	obj
20	des	_	None	_
21	de	ADP	22	case
22	les	DET	22	det
23	bactéries	NOUN	19	nmod
24	vivantes	ADJ	22	amod
25	pour	ADP	25	mark
26	pallier	VERB	15	advcl
27	l'	DET	27	det
28	absence	NOUN	25	obj
29	de	ADP	29	case
30	lactase	NOUN	27	nmod
31	intestinale	ADJ	29	amod
32	.	PUNCT	4	punct