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:
Claire sait bien que Marie--souvent absente--a un petit copain, mais comment pourrait-elle se douter qu'il s'agit de cet Anton Lopakine pour qui elle a éprouvé d'emblée méfiance et antipathie ?
Postion	Tokenization
1	Claire
2	sait
3	bien
4	que
5	Marie
6	--
7	souvent
8	absente
9	--
10	a
11	un
12	petit
13	copain
14	,
15	mais
16	comment
17	pourrait
18	-elle
19	se
20	douter
21	qu'
22	il
23	s'
24	agit
25	de
26	cet
27	Anton
28	Lopakine
29	pour
30	qui
31	elle
32	a
33	éprouvé
34	d'
35	emblée
36	méfiance
37	et
38	antipathie
39	?
Position	Tokenization	UPOS	Head	Deprel
1	Claire	PROPN	2	nsubj
2	sait	VERB	0	root
3	bien	ADV	2	advmod
4	que	SCONJ	10	mark
5	Marie	PROPN	10	nsubj
6	--	PUNCT	8	punct
7	souvent	ADV	8	advmod
8	absente	ADJ	5	amod
9	--	PUNCT	8	punct
10	a	VERB	2	ccomp:obj
11	un	DET	13	det
12	petit	ADJ	13	amod
13	copain	NOUN	10	obj
14	,	PUNCT	17	punct
15	mais	CCONJ	17	cc
16	comment	ADV	17	advmod
17	pourrait	VERB	2	conj
18	-elle	PRON	17	nsubj
19	se	PRON	20	dep:comp
20	douter	VERB	17	xcomp:obj
21	qu'	SCONJ	24	mark
22	il	PRON	24	expl:subj
23	s'	PRON	24	dep:comp
24	agit	VERB	20	ccomp:obl
25	de	ADP	27	case
26	cet	DET	27	det
27	Anton	PROPN	24	obl:arg
28	Lopakine	PROPN	27	flat:name
29	pour	ADP	30	case
30	qui	PRON	33	obl:mod
31	elle	PRON	33	nsubj
32	a	AUX	33	aux:tense
33	éprouvé	VERB	27	acl:relcl
34	d'	ADP	33	advmod
35	emblée	NOUN	34	fixed
36	méfiance	NOUN	33	obj
37	et	CCONJ	38	cc
38	antipathie	NOUN	36	conj
39	?	PUNCT	2	punct