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 premiers problèmes d'échecs ont été des mats directs ou des études, ces deux types d'énoncé restent proches des règles et conventions de la partie d'échecs.
Postion	Tokenization
1	Les
2	premiers
3	problèmes
4	d'
5	échecs
6	ont
7	été
8	des
9	mats
10	directs
11	ou
12	des
13	études
14	,
15	ces
16	deux
17	types
18	d'
19	énoncé
20	restent
21	proches
22	des
23	de
24	les
25	règles
26	et
27	conventions
28	de
29	la
30	partie
31	d'
32	échecs
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	3	det
2	premiers	ADJ	3	amod
3	problèmes	NOUN	9	nsubj
4	d'	ADP	5	case
5	échecs	NOUN	3	nmod
6	ont	AUX	9	aux:tense
7	été	AUX	9	cop
8	des	DET	9	det
9	mats	NOUN	0	root
10	directs	ADJ	9	amod
11	ou	CCONJ	13	cc
12	des	DET	13	det
13	études	NOUN	9	conj
14	,	PUNCT	20	punct
15	ces	DET	17	det
16	deux	NUM	17	nummod
17	types	NOUN	20	nsubj
18	d'	ADP	19	case
19	énoncé	NOUN	17	nmod
20	restent	VERB	9	parataxis
21	proches	ADJ	20	xcomp:pred
22	des	_	None	_
23	de	ADP	24	case
24	les	DET	24	det
25	règles	NOUN	21	obl:arg
26	et	CCONJ	26	cc
27	conventions	NOUN	24	conj
28	de	ADP	29	case
29	la	DET	29	det
30	partie	NOUN	24	nmod
31	d'	ADP	31	case
32	échecs	NOUN	29	nmod
33	.	PUNCT	9	punct