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 problèmes féeriques utilisent des règles féeriques ou des pièces féeriques, on peut donc trouver des mats directs, des études, des mats aidés féeriques, mais il existe aussi un certain nombre de problèmes où le côté féerique est juste limité à l'énoncé du problème :
Postion	Tokenization
1	Les
2	problèmes
3	féeriques
4	utilisent
5	des
6	règles
7	féeriques
8	ou
9	des
10	pièces
11	féeriques
12	,
13	on
14	peut
15	donc
16	trouver
17	des
18	mats
19	directs
20	,
21	des
22	études
23	,
24	des
25	mats
26	aidés
27	féeriques
28	,
29	mais
30	il
31	existe
32	aussi
33	un
34	certain
35	nombre
36	de
37	problèmes
38	où
39	le
40	côté
41	féerique
42	est
43	juste
44	limité
45	à
46	l'
47	énoncé
48	du
49	de
50	le
51	problème
52	:
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	problèmes	NOUN	4	nsubj
3	féeriques	ADJ	2	amod
4	utilisent	VERB	0	root
5	des	DET	6	det
6	règles	NOUN	4	obj
7	féeriques	ADJ	6	amod
8	ou	CCONJ	10	cc
9	des	DET	10	det
10	pièces	NOUN	6	conj
11	féeriques	ADJ	10	amod
12	,	PUNCT	14	punct
13	on	PRON	14	nsubj
14	peut	VERB	4	conj
15	donc	ADV	14	advmod
16	trouver	VERB	14	xcomp:obj
17	des	DET	18	det
18	mats	NOUN	16	obj
19	directs	ADJ	18	amod
20	,	PUNCT	22	punct
21	des	DET	22	det
22	études	NOUN	18	conj
23	,	PUNCT	25	punct
24	des	DET	25	det
25	mats	NOUN	18	conj
26	aidés	VERB	25	acl
27	féeriques	ADJ	25	amod
28	,	PUNCT	31	punct
29	mais	CCONJ	31	cc
30	il	PRON	31	expl:subj
31	existe	VERB	4	conj
32	aussi	ADV	31	advmod
33	un	DET	35	det
34	certain	ADJ	35	amod
35	nombre	NOUN	31	nsubj
36	de	ADP	37	case
37	problèmes	NOUN	35	nmod
38	où	ADV	44	advmod
39	le	DET	40	det
40	côté	NOUN	44	nsubj:pass
41	féerique	ADJ	40	amod
42	est	AUX	44	aux:pass
43	juste	ADV	44	advmod
44	limité	VERB	35	acl:relcl
45	à	ADP	47	case
46	l'	DET	47	det
47	énoncé	NOUN	44	obl:arg
48	du	_	None	_
49	de	ADP	50	case
50	le	DET	50	det
51	problème	NOUN	47	nmod
52	:	PUNCT	4	punct