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 comté de Belmont--en anglais : Belmont County--est un des 88 comtés de l'État de l'Ohio, aux États-Unis.
Postion	Tokenization
1	Le
2	comté
3	de
4	Belmont
5	--
6	en
7	anglais
8	:
9	Belmont
10	County
11	--
12	est
13	un
14	des
15	de
16	les
17	88
18	comtés
19	de
20	l'
21	État
22	de
23	l'
24	Ohio
25	,
26	aux
27	à
28	les
29	États-Unis
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	comté	NOUN	13	nsubj
3	de	ADP	4	case
4	Belmont	PROPN	2	nmod
5	--	PUNCT	7	punct
6	en	ADP	7	case
7	anglais	NOUN	2	appos
8	:	PUNCT	9	punct
9	Belmont	PROPN	7	appos
10	County	PROPN	9	flat:name
11	--	PUNCT	7	punct
12	est	AUX	13	cop
13	un	PRON	0	root
14	des	_	None	_
15	de	ADP	17	case
16	les	DET	17	det
17	88	NUM	17	nummod
18	comtés	NOUN	13	nmod
19	de	ADP	20	case
20	l'	DET	20	det
21	État	NOUN	17	nmod
22	de	ADP	23	case
23	l'	DET	23	det
24	Ohio	PROPN	20	nmod
25	,	PUNCT	27	punct
26	aux	_	None	_
27	à	ADP	27	case
28	les	DET	27	det
29	États-Unis	PROPN	23	nmod
30	.	PUNCT	13	punct