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:
Dès 1967, les habitants de Boulder devinrent les premiers Américains à se taxer eux-mêmes afin d'acheter et de préserver des espaces verts municipaux autour de la ville (open space).
Postion	Tokenization
1	Dès
2	1967
3	,
4	les
5	habitants
6	de
7	Boulder
8	devinrent
9	les
10	premiers
11	Américains
12	à
13	se
14	taxer
15	eux-mêmes
16	afin
17	d'
18	acheter
19	et
20	de
21	préserver
22	des
23	espaces
24	verts
25	municipaux
26	autour
27	de
28	la
29	ville
30	(
31	open
32	space
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Dès	ADP	2	case
2	1967	NUM	8	obl:mod
3	,	PUNCT	2	punct
4	les	DET	5	det
5	habitants	NOUN	8	nsubj
6	de	ADP	7	case
7	Boulder	PROPN	5	nmod
8	devinrent	VERB	0	root
9	les	DET	11	det
10	premiers	ADJ	11	amod
11	Américains	NOUN	8	xcomp:pred
12	à	ADP	14	mark
13	se	PRON	14	obj
14	taxer	VERB	11	acl
15	eux-mêmes	PRON	14	obl:mod
16	afin	ADV	14	advmod
17	d'	ADP	18	mark
18	acheter	VERB	16	ccomp:obj
19	et	CCONJ	21	cc
20	de	ADP	21	mark
21	préserver	VERB	18	conj
22	des	DET	23	det
23	espaces	NOUN	18	obj
24	verts	ADJ	23	amod
25	municipaux	ADJ	23	amod
26	autour	ADV	18	advmod
27	de	ADP	29	case
28	la	DET	29	det
29	ville	NOUN	26	obl:arg
30	(	PUNCT	32	punct
31	open	ADJ	32	amod
32	space	NOUN	23	appos
33	)	PUNCT	32	punct
34	.	PUNCT	8	punct