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:
Konečné pořadí ME: 1. Dubourg 84, 2. Bartoš 70, 3. Hošek 65, 4. Vincendan 59, 5. Havel 56, 6. Hakvoort 44.
Postion	Tokenization
1	Konečné
2	pořadí
3	ME
4	:
5	1
6	.
7	_
8	Dubourg
9	84
10	,
11	2
12	.
13	Bartoš
14	70
15	,
16	3
17	.
18	Hošek
19	65
20	,
21	4
22	.
23	Vincendan
24	59
25	,
26	5
27	.
28	Havel
29	56
30	,
31	6
32	.
33	Hakvoort
34	44
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Konečné	ADJ	2	amod
2	pořadí	NOUN	0	root
3	ME	NOUN	2	nmod
4	:	PUNCT	2	punct
5	1	NUM	2	appos
6	.	PUNCT	5	punct
7	_	_	None	_
8	Dubourg	PROPN	5	conj
9	84	NUM	7	nummod
10	,	PUNCT	7	punct
11	2	NUM	7	orphan
12	.	PUNCT	10	punct
13	Bartoš	PROPN	7	orphan
14	70	NUM	12	nummod
15	,	PUNCT	7	punct
16	3	NUM	7	orphan
17	.	PUNCT	15	punct
18	Hošek	PROPN	7	orphan
19	65	NUM	17	nummod
20	,	PUNCT	7	punct
21	4	NUM	7	orphan
22	.	PUNCT	20	punct
23	Vincendan	PROPN	7	orphan
24	59	NUM	22	nummod
25	,	PUNCT	7	punct
26	5	NUM	7	orphan
27	.	PUNCT	25	punct
28	Havel	PROPN	5	dep
29	56	NUM	27	nummod
30	,	PUNCT	30	punct
31	6	NUM	7	orphan
32	.	PUNCT	30	punct
33	Hakvoort	PROPN	7	orphan
34	44	NUM	32	nummod
35	.	PUNCT	2	punct