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:
Vyšetřující soudce Beffi, který se zabývá úplatkářskou aférou Ol. Marseille, dostal několik výhrůžných dopisů, jejichž autory jsou s největší pravděpodobností fanoušci jihofrancouzského fotbalového týmu.
Postion	Tokenization
1	Vyšetřující
2	soudce
3	Beffi
4	,
5	který
6	se
7	zabývá
8	úplatkářskou
9	aférou
10	Ol
11	.
12	Marseille
13	,
14	dostal
15	několik
16	výhrůžných
17	dopisů
18	,
19	jejichž
20	autory
21	jsou
22	s
23	největší
24	pravděpodobností
25	fanoušci
26	jihofrancouzského
27	fotbalového
28	týmu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Vyšetřující	ADJ	2	amod
2	soudce	NOUN	14	nsubj
3	Beffi	PROPN	2	flat
4	,	PUNCT	7	punct
5	který	DET	7	nsubj
6	se	PRON	7	expl:pv
7	zabývá	VERB	2	acl:relcl
8	úplatkářskou	ADJ	9	amod
9	aférou	NOUN	7	obl:arg
10	Ol	PROPN	9	nmod
11	.	PUNCT	10	punct
12	Marseille	PROPN	10	nmod
13	,	PUNCT	7	punct
14	dostal	VERB	0	root
15	několik	DET	17	det:numgov
16	výhrůžných	ADJ	17	amod
17	dopisů	NOUN	14	obj
18	,	PUNCT	20	punct
19	jejichž	DET	20	det
20	autory	NOUN	17	acl:relcl
21	jsou	AUX	20	cop
22	s	ADP	24	case
23	největší	ADJ	24	amod
24	pravděpodobností	NOUN	20	obl
25	fanoušci	NOUN	20	nsubj
26	jihofrancouzského	ADJ	28	amod
27	fotbalového	ADJ	28	amod
28	týmu	NOUN	25	nmod
29	.	PUNCT	14	punct