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 parquet de Papeete compte actuellement sept plaintes et une condamnation pour "escroquerie", "abus de confiance" ou encore "violence" à son encontre.
Postion	Tokenization
1	Le
2	parquet
3	de
4	Papeete
5	compte
6	actuellement
7	sept
8	plaintes
9	et
10	une
11	condamnation
12	pour
13	"
14	escroquerie
15	"
16	,
17	"
18	abus
19	de
20	confiance
21	"
22	ou
23	encore
24	"
25	violence
26	"
27	à
28	son
29	encontre
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	parquet	NOUN	5	nsubj
3	de	ADP	4	case
4	Papeete	PROPN	2	nmod
5	compte	VERB	0	root
6	actuellement	ADV	5	advmod
7	sept	NUM	8	nummod
8	plaintes	NOUN	5	obj
9	et	CCONJ	11	cc
10	une	NUM	11	nummod
11	condamnation	NOUN	8	conj
12	pour	ADP	14	case
13	"	PUNCT	14	punct
14	escroquerie	NOUN	8	nmod
15	"	PUNCT	14	punct
16	,	PUNCT	18	punct
17	"	PUNCT	18	punct
18	abus	NOUN	14	conj
19	de	ADP	20	case
20	confiance	NOUN	18	nmod
21	"	PUNCT	18	punct
22	ou	CCONJ	25	cc
23	encore	ADV	25	advmod
24	"	PUNCT	25	punct
25	violence	NOUN	14	conj
26	"	PUNCT	25	punct
27	à	ADP	29	case
28	son	DET	29	det
29	encontre	NOUN	5	obl:mod
30	.	PUNCT	5	punct