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:
Konkurenci měl tentokrát především v Sebastianovi Salgadovi (držitel Ceny Oskara Barnacka), členu elitní agentury Magnum, který přinesl seriál o partě kanadských specialistů snažících se uzavřít ventily od unikající nafty v Kuvajtu.
Postion	Tokenization
1	Konkurenci
2	měl
3	tentokrát
4	především
5	v
6	Sebastianovi
7	Salgadovi
8	(
9	držitel
10	Ceny
11	Oskara
12	Barnacka
13	)
14	,
15	členu
16	elitní
17	agentury
18	Magnum
19	,
20	který
21	přinesl
22	seriál
23	o
24	partě
25	kanadských
26	specialistů
27	snažících
28	se
29	uzavřít
30	ventily
31	od
32	unikající
33	nafty
34	v
35	Kuvajtu
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Konkurenci	NOUN	2	obj
2	měl	VERB	0	root
3	tentokrát	ADV	2	advmod
4	především	ADV	6	advmod:emph
5	v	ADP	6	case
6	Sebastianovi	PROPN	2	obl
7	Salgadovi	PROPN	6	flat
8	(	PUNCT	9	punct
9	držitel	NOUN	6	nmod
10	Ceny	NOUN	9	nmod
11	Oskara	PROPN	10	nmod
12	Barnacka	PROPN	11	flat
13	)	PUNCT	9	punct
14	,	PUNCT	15	punct
15	členu	NOUN	6	appos
16	elitní	ADJ	17	amod
17	agentury	NOUN	15	nmod
18	Magnum	PROPN	17	nmod
19	,	PUNCT	21	punct
20	který	DET	21	nsubj
21	přinesl	VERB	6	acl:relcl
22	seriál	NOUN	21	obj
23	o	ADP	24	case
24	partě	NOUN	22	nmod
25	kanadských	ADJ	26	amod
26	specialistů	NOUN	24	nmod
27	snažících	ADJ	26	amod
28	se	PRON	27	expl:pv
29	uzavřít	VERB	27	xcomp
30	ventily	NOUN	29	obj
31	od	ADP	33	case
32	unikající	ADJ	33	amod
33	nafty	NOUN	30	nmod
34	v	ADP	35	case
35	Kuvajtu	PROPN	33	nmod
36	.	PUNCT	2	punct