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:
Cet essai sur les Brooklyn Dodgers, son club de cœur, est désigné par Sports Illustrated en 2002 deuxième meilleur livre sportif de tous les temps.
Postion	Tokenization
1	Cet
2	essai
3	sur
4	les
5	Brooklyn
6	Dodgers
7	,
8	son
9	club
10	de
11	cœur
12	,
13	est
14	désigné
15	par
16	Sports
17	Illustrated
18	en
19	2002
20	deuxième
21	meilleur
22	livre
23	sportif
24	de
25	tous
26	les
27	temps
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Cet	DET	2	det
2	essai	NOUN	14	nsubj:pass
3	sur	ADP	5	case
4	les	DET	5	det
5	Brooklyn	PROPN	2	nmod
6	Dodgers	PROPN	5	flat:name
7	,	PUNCT	9	punct
8	son	DET	9	det
9	club	NOUN	5	appos
10	de	ADP	11	case
11	cœur	NOUN	9	nmod
12	,	PUNCT	9	punct
13	est	AUX	14	aux:pass
14	désigné	VERB	0	root
15	par	ADP	16	case
16	Sports	PROPN	14	obl:agent
17	Illustrated	PROPN	16	flat:name
18	en	ADP	19	case
19	2002	NUM	14	obl:mod
20	deuxième	ADJ	22	amod
21	meilleur	ADJ	22	amod
22	livre	NOUN	14	xcomp:pred
23	sportif	ADJ	22	amod
24	de	ADP	27	case
25	tous	ADJ	27	amod
26	les	DET	27	det
27	temps	NOUN	22	nmod
28	.	PUNCT	14	punct