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 A-9 utilisait le moteur Lycoming F-102 tandis que le A-10 utilisait le GE TF34 (comme dans le contemporain Lockheed S-3 Viking).
Postion	Tokenization
1	Le
2	A-9
3	utilisait
4	le
5	moteur
6	Lycoming
7	F-102
8	tandis
9	que
10	le
11	A-10
12	utilisait
13	le
14	GE
15	TF34
16	(
17	comme
18	dans
19	le
20	contemporain
21	Lockheed
22	S-3
23	Viking
24	)
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	A-9	PROPN	3	nsubj
3	utilisait	VERB	0	root
4	le	DET	5	det
5	moteur	NOUN	3	obj
6	Lycoming	PROPN	5	appos
7	F-102	NUM	6	flat:name
8	tandis	ADV	12	mark
9	que	SCONJ	8	fixed
10	le	DET	11	det
11	A-10	PROPN	12	nsubj
12	utilisait	VERB	3	advcl
13	le	DET	14	det
14	GE	PROPN	12	obj
15	TF34	PROPN	14	flat:name
16	(	PUNCT	21	punct
17	comme	SCONJ	21	mark
18	dans	ADP	21	case
19	le	DET	21	det
20	contemporain	ADJ	21	amod
21	Lockheed	PROPN	12	advcl
22	S-3	NUM	21	flat:name
23	Viking	PROPN	22	flat:name
24	)	PUNCT	21	punct
25	.	PUNCT	3	punct