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:
Elle repose sur la lecture à haute voix et l'exploration psychologique d'extraits de textes littéraires sélectionnes et répertoriés pour leur pouvoir inducteur d'états émotionnels.
Postion	Tokenization
1	Elle
2	repose
3	sur
4	la
5	lecture
6	à
7	haute
8	voix
9	et
10	l'
11	exploration
12	psychologique
13	d'
14	extraits
15	de
16	textes
17	littéraires
18	sélectionnes
19	et
20	répertoriés
21	pour
22	leur
23	pouvoir
24	inducteur
25	d'
26	états
27	émotionnels
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	repose	VERB	0	root
3	sur	ADP	5	case
4	la	DET	5	det
5	lecture	NOUN	2	obl:mod
6	à	ADP	8	case
7	haute	ADJ	8	amod
8	voix	NOUN	5	nmod
9	et	CCONJ	11	cc
10	l'	DET	11	det
11	exploration	NOUN	5	conj
12	psychologique	ADJ	11	amod
13	d'	ADP	14	case
14	extraits	NOUN	11	nmod
15	de	ADP	16	case
16	textes	NOUN	14	nmod
17	littéraires	ADJ	16	amod
18	sélectionnes	VERB	14	acl
19	et	CCONJ	20	cc
20	répertoriés	VERB	18	conj
21	pour	ADP	23	case
22	leur	DET	23	det
23	pouvoir	NOUN	20	obl:mod
24	inducteur	ADJ	23	amod
25	d'	ADP	26	case
26	états	NOUN	23	nmod
27	émotionnels	ADJ	26	amod
28	.	PUNCT	2	punct