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:
Košir vedl i po prvním kole nedělního slalomu, ale ve druhém ho předstihli Rakušané Tritscher, pro něhož to znamená druhý triumf v SP, a Reiter a Nor Furuseth.
Postion	Tokenization
1	Košir
2	vedl
3	i
4	po
5	prvním
6	kole
7	nedělního
8	slalomu
9	,
10	ale
11	ve
12	druhém
13	ho
14	předstihli
15	Rakušané
16	Tritscher
17	,
18	pro
19	něhož
20	to
21	znamená
22	druhý
23	triumf
24	v
25	SP
26	,
27	a
28	Reiter
29	a
30	Nor
31	Furuseth
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Košir	PROPN	2	nsubj
2	vedl	VERB	0	root
3	i	CCONJ	6	advmod:emph
4	po	ADP	6	case
5	prvním	ADJ	6	amod
6	kole	NOUN	2	obl
7	nedělního	ADJ	8	amod
8	slalomu	NOUN	6	nmod
9	,	PUNCT	14	punct
10	ale	CCONJ	14	cc
11	ve	ADP	12	case
12	druhém	ADJ	14	dep
13	ho	PRON	14	obj
14	předstihli	VERB	2	conj
15	Rakušané	PROPN	16	nmod
16	Tritscher	PROPN	14	nsubj
17	,	PUNCT	21	punct
18	pro	ADP	19	case
19	něhož	PRON	21	obl:arg
20	to	DET	21	nsubj
21	znamená	VERB	16	acl:relcl
22	druhý	ADJ	23	amod
23	triumf	NOUN	21	obj
24	v	ADP	25	case
25	SP	NOUN	23	nmod
26	,	PUNCT	21	punct
27	a	CCONJ	28	cc
28	Reiter	PROPN	16	conj
29	a	CCONJ	30	cc
30	Nor	PROPN	16	conj
31	Furuseth	PROPN	30	nmod
32	.	PUNCT	2	punct