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 budget militaire algérien pour l'année 2009 s'élevait à plus de 6,25 milliards de dollars, soit une augmentation d'environ 10% par rapport à 2008.
Postion	Tokenization
1	Le
2	budget
3	militaire
4	algérien
5	pour
6	l'
7	année
8	2009
9	s'
10	élevait
11	à
12	plus
13	de
14	6,25
15	milliards
16	de
17	dollars
18	,
19	soit
20	une
21	augmentation
22	d'
23	environ
24	10
25	%
26	par
27	rapport
28	à
29	2008
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	budget	NOUN	10	nsubj
3	militaire	ADJ	2	amod
4	algérien	ADJ	2	amod
5	pour	ADP	7	case
6	l'	DET	7	det
7	année	NOUN	2	nmod
8	2009	NUM	7	nmod
9	s'	PRON	10	dep:comp
10	élevait	VERB	0	root
11	à	ADP	12	case
12	plus	ADV	10	obl:mod
13	de	ADP	15	case
14	6,25	NUM	15	nummod
15	milliards	NOUN	12	dep:comp
16	de	ADP	17	case
17	dollars	NOUN	15	nmod
18	,	PUNCT	21	punct
19	soit	ADV	21	advmod
20	une	DET	21	det
21	augmentation	NOUN	15	appos
22	d'	ADP	25	case
23	environ	ADV	24	advmod
24	10	NUM	25	nummod
25	%	SYM	21	nmod
26	par	ADP	27	case
27	rapport	NOUN	21	nmod
28	à	ADP	29	case
29	2008	NUM	27	nmod
30	.	PUNCT	10	punct