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:
Cinq ans plus tard elle acheta 35 appareils de plus, d'une version légèrement améliorée, qu'elle désigna cette fois ci L-27B.
Postion	Tokenization
1	Cinq
2	ans
3	plus
4	tard
5	elle
6	acheta
7	35
8	appareils
9	de
10	plus
11	,
12	d'
13	une
14	version
15	légèrement
16	améliorée
17	,
18	qu'
19	elle
20	désigna
21	cette
22	fois
23	ci
24	L-27B
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Cinq	NUM	2	nummod
2	ans	NOUN	6	obl:mod
3	plus	ADV	4	advmod
4	tard	ADV	2	advmod
5	elle	PRON	6	nsubj
6	acheta	VERB	0	root
7	35	NUM	8	nummod
8	appareils	NOUN	6	obj
9	de	ADP	8	advmod
10	plus	ADV	9	fixed
11	,	PUNCT	14	punct
12	d'	ADP	14	case
13	une	DET	14	det
14	version	NOUN	6	obl:mod
15	légèrement	ADV	16	advmod
16	améliorée	VERB	14	acl
17	,	PUNCT	20	punct
18	qu'	PRON	20	obj
19	elle	PRON	20	nsubj
20	désigna	VERB	14	acl:relcl
21	cette	DET	22	det
22	fois	NOUN	20	obl:mod
23	ci	ADV	22	advmod
24	L-27B	PROPN	20	xcomp:pred
25	.	PUNCT	6	punct