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:
Teprve letní pátrací akce po bratru známého norského lyžaře Vegarda Ulvanga Ketilovi, který se loni v říjnu ztratil ve sněhové bouři v horách norského Kirkenesu, přinesla úspěch.
Postion	Tokenization
1	Teprve
2	letní
3	pátrací
4	akce
5	po
6	bratru
7	známého
8	norského
9	lyžaře
10	Vegarda
11	Ulvanga
12	Ketilovi
13	,
14	který
15	se
16	loni
17	v
18	říjnu
19	ztratil
20	ve
21	sněhové
22	bouři
23	v
24	horách
25	norského
26	Kirkenesu
27	,
28	přinesla
29	úspěch
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Teprve	ADV	4	advmod:emph
2	letní	ADJ	4	amod
3	pátrací	ADJ	4	amod
4	akce	NOUN	28	nsubj
5	po	ADP	6	case
6	bratru	NOUN	4	nmod
7	známého	ADJ	9	amod
8	norského	ADJ	9	amod
9	lyžaře	NOUN	6	nmod
10	Vegarda	PROPN	9	flat
11	Ulvanga	PROPN	9	flat
12	Ketilovi	PROPN	6	flat
13	,	PUNCT	19	punct
14	který	DET	19	nsubj
15	se	PRON	19	expl:pv
16	loni	ADV	19	advmod
17	v	ADP	18	case
18	říjnu	NOUN	19	obl
19	ztratil	VERB	6	acl:relcl
20	ve	ADP	22	case
21	sněhové	ADJ	22	amod
22	bouři	NOUN	19	obl
23	v	ADP	24	case
24	horách	NOUN	19	obl
25	norského	ADJ	26	amod
26	Kirkenesu	PROPN	24	nmod
27	,	PUNCT	19	punct
28	přinesla	VERB	0	root
29	úspěch	NOUN	28	obj
30	.	PUNCT	28	punct