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:
Les mots et leur magie, Bernard Pivot les a découverts pour la première fois dans le Petit Larousse illustré quand il était enfant, pendant la guerre.
Postion	Tokenization
1	Les
2	mots
3	et
4	leur
5	magie
6	,
7	Bernard
8	Pivot
9	les
10	a
11	découverts
12	pour
13	la
14	première
15	fois
16	dans
17	le
18	Petit
19	Larousse
20	illustré
21	quand
22	il
23	était
24	enfant
25	,
26	pendant
27	la
28	guerre
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	mots	NOUN	11	dislocated
3	et	CCONJ	5	cc
4	leur	DET	5	det
5	magie	NOUN	2	conj
6	,	PUNCT	2	punct
7	Bernard	PROPN	11	nsubj
8	Pivot	PROPN	7	flat:name
9	les	PRON	11	obj
10	a	AUX	11	aux:tense
11	découverts	VERB	0	root
12	pour	ADP	15	case
13	la	DET	15	det
14	première	ADJ	15	amod
15	fois	NOUN	11	obl:mod
16	dans	ADP	19	case
17	le	DET	19	det
18	Petit	ADJ	19	amod
19	Larousse	PROPN	11	obl:mod
20	illustré	VERB	19	acl
21	quand	SCONJ	24	mark
22	il	PRON	24	nsubj
23	était	AUX	24	cop
24	enfant	NOUN	11	advcl
25	,	PUNCT	28	punct
26	pendant	ADP	28	case
27	la	DET	28	det
28	guerre	NOUN	24	nmod
29	.	PUNCT	11	punct