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:
Le flowboard est une planche de skateboard dont chaque truck a été remplacé par un arceau en arc de cercle traversant un certain nombre de roue (souvent 7).
Postion	Tokenization
1	Le
2	flowboard
3	est
4	une
5	planche
6	de
7	skateboard
8	dont
9	chaque
10	truck
11	a
12	été
13	remplacé
14	par
15	un
16	arceau
17	en
18	arc
19	de
20	cercle
21	traversant
22	un
23	certain
24	nombre
25	de
26	roue
27	(
28	souvent
29	7
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	flowboard	NOUN	5	nsubj
3	est	AUX	5	cop
4	une	DET	5	det
5	planche	NOUN	0	root
6	de	ADP	7	case
7	skateboard	NOUN	5	nmod
8	dont	PRON	10	nmod
9	chaque	DET	10	det
10	truck	NOUN	13	nsubj:pass
11	a	AUX	13	aux:tense
12	été	AUX	13	aux:pass
13	remplacé	VERB	5	acl:relcl
14	par	ADP	16	case
15	un	DET	16	det
16	arceau	NOUN	13	obl:agent
17	en	ADP	18	case
18	arc	NOUN	16	nmod
19	de	ADP	20	case
20	cercle	NOUN	18	nmod
21	traversant	VERB	16	acl
22	un	DET	24	det
23	certain	ADJ	24	amod
24	nombre	NOUN	21	obj
25	de	ADP	26	case
26	roue	NOUN	24	nmod
27	(	PUNCT	29	punct
28	souvent	ADV	29	advmod
29	7	NUM	24	nmod
30	)	PUNCT	29	punct
31	.	PUNCT	5	punct