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 moteur RB de Nissan est dérivé du moteur L20A de six cylindres en lignes qui a le même alésage et la même course.
Postion	Tokenization
1	Le
2	moteur
3	RB
4	de
5	Nissan
6	est
7	dérivé
8	du
9	de
10	le
11	moteur
12	L20A
13	de
14	six
15	cylindres
16	en
17	lignes
18	qui
19	a
20	le
21	même
22	alésage
23	et
24	la
25	même
26	course
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	moteur	NOUN	7	nsubj:pass
3	RB	X	2	appos
4	de	ADP	5	case
5	Nissan	PROPN	2	nmod
6	est	AUX	7	aux:pass
7	dérivé	VERB	0	root
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	moteur	NOUN	7	obl:arg
12	L20A	X	10	appos
13	de	ADP	14	case
14	six	NUM	14	nummod
15	cylindres	NOUN	10	nmod
16	en	ADP	16	case
17	lignes	NOUN	14	nmod
18	qui	PRON	18	nsubj
19	a	VERB	10	acl:relcl
20	le	DET	21	det
21	même	ADJ	21	amod
22	alésage	NOUN	18	obj
23	et	CCONJ	25	cc
24	la	DET	25	det
25	même	ADJ	25	amod
26	course	NOUN	21	conj
27	.	PUNCT	7	punct