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:
Swaters dirige l'équipe qui avait acheté une Ferrari 500, qu'il ramène lui-même de Modène à Chimay par la route, pour le Grand Prix des Frontières.
Postion	Tokenization
1	Swaters
2	dirige
3	l'
4	équipe
5	qui
6	avait
7	acheté
8	une
9	Ferrari
10	500
11	,
12	qu'
13	il
14	ramène
15	lui-même
16	de
17	Modène
18	à
19	Chimay
20	par
21	la
22	route
23	,
24	pour
25	le
26	Grand
27	Prix
28	des
29	de
30	les
31	Frontières
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Swaters	PROPN	2	nsubj
2	dirige	VERB	0	root
3	l'	DET	4	det
4	équipe	NOUN	2	obj
5	qui	PRON	7	nsubj
6	avait	AUX	7	aux:tense
7	acheté	VERB	4	acl:relcl
8	une	DET	9	det
9	Ferrari	PROPN	7	obj
10	500	NUM	9	nmod
11	,	PUNCT	14	punct
12	qu'	PRON	14	obj
13	il	PRON	14	nsubj
14	ramène	VERB	4	acl:relcl
15	lui-même	PRON	14	obl:mod
16	de	ADP	17	case
17	Modène	PROPN	14	obl:arg
18	à	ADP	19	case
19	Chimay	PROPN	14	obl:mod
20	par	ADP	22	case
21	la	DET	22	det
22	route	NOUN	14	obl:mod
23	,	PUNCT	27	punct
24	pour	ADP	27	case
25	le	DET	27	det
26	Grand	ADJ	27	amod
27	Prix	NOUN	14	obl:mod
28	des	_	None	_
29	de	ADP	30	case
30	les	DET	30	det
31	Frontières	PROPN	27	nmod
32	.	PUNCT	2	punct