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:
Elle cultive d'ailleurs cette ambiguïté sur elle puisqu'elle possède deux tatouages : un représentant le Aum et un autre représentant le démon.
Postion	Tokenization
1	Elle
2	cultive
3	d'
4	ailleurs
5	cette
6	ambiguïté
7	sur
8	elle
9	puisqu'
10	elle
11	possède
12	deux
13	tatouages
14	:
15	un
16	représentant
17	le
18	Aum
19	et
20	un
21	autre
22	représentant
23	le
24	démon
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	cultive	VERB	0	root
3	d'	ADP	2	advmod
4	ailleurs	ADV	3	fixed
5	cette	DET	6	det
6	ambiguïté	NOUN	2	obj
7	sur	ADP	8	case
8	elle	PRON	2	obl:mod
9	puisqu'	SCONJ	11	mark
10	elle	PRON	11	nsubj
11	possède	VERB	2	advcl
12	deux	NUM	13	nummod
13	tatouages	NOUN	11	obj
14	:	PUNCT	15	punct
15	un	PRON	13	appos
16	représentant	VERB	15	acl
17	le	DET	18	det
18	Aum	PROPN	16	obj
19	et	CCONJ	21	cc
20	un	DET	21	det
21	autre	ADJ	13	conj
22	représentant	VERB	21	acl
23	le	DET	24	det
24	démon	NOUN	22	obj
25	.	PUNCT	2	punct