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:
Další výsledky, sjezd muži ( 3.35 km): 1. Cullinan (USA) 4:28 min, 2. Deaton (oba USA) 4:33, 3. Taillefer (Fr.) 4: 33.7.
Postion	Tokenization
1	Další
2	výsledky
3	,
4	sjezd
5	muži
6	(
7	3.35
8	km
9	)
10	:
11	1
12	.
13	Cullinan
14	(
15	USA
16	)
17	4
18	:
19	28
20	min
21	,
22	2
23	.
24	Deaton
25	(
26	oba
27	USA
28	)
29	4
30	:
31	33
32	,
33	3
34	.
35	Taillefer
36	(
37	Fr
38	.
39	)
40	4
41	:
42	33.7
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Další	ADJ	2	amod
2	výsledky	NOUN	0	root
3	,	PUNCT	2	punct
4	sjezd	NOUN	2	dep
5	muži	NOUN	4	dep
6	(	PUNCT	4	punct
7	3.35	NUM	4	dep
8	km	NOUN	7	nmod
9	)	PUNCT	4	punct
10	:	PUNCT	2	punct
11	1	NUM	2	dep
12	.	PUNCT	11	punct
13	Cullinan	PROPN	2	dep
14	(	PUNCT	13	punct
15	USA	PROPN	13	dep
16	)	PUNCT	13	punct
17	4	NUM	2	dep
18	:	PUNCT	19	punct
19	28	NUM	17	conj
20	min	NOUN	19	nmod
21	,	PUNCT	2	punct
22	2	NUM	2	dep
23	.	PUNCT	22	punct
24	Deaton	PROPN	2	dep
25	(	PUNCT	24	punct
26	oba	NUM	24	dep
27	USA	PROPN	24	dep
28	)	PUNCT	24	punct
29	4	NUM	2	dep
30	:	PUNCT	31	punct
31	33	NUM	29	conj
32	,	PUNCT	2	punct
33	3	NUM	2	dep
34	.	PUNCT	33	punct
35	Taillefer	PROPN	2	dep
36	(	PUNCT	35	punct
37	Fr	PROPN	35	dep
38	.	PUNCT	37	punct
39	)	PUNCT	35	punct
40	4	NUM	2	dep
41	:	PUNCT	42	punct
42	33.7	NUM	40	conj
43	.	PUNCT	2	punct