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:
Prohry nejlepšího účastníka letošního ročníku severoamerické NHL Pittsburghu a obhájce loňského prvenství ve Stanleyho poháru New York Rangers byly největšími překvapeními pátečních zápasů severoamerické Národní hokejové ligy.
Postion	Tokenization
1	Prohry
2	nejlepšího
3	účastníka
4	letošního
5	ročníku
6	severoamerické
7	NHL
8	Pittsburghu
9	a
10	obhájce
11	loňského
12	prvenství
13	ve
14	Stanleyho
15	poháru
16	New
17	York
18	Rangers
19	byly
20	největšími
21	překvapeními
22	pátečních
23	zápasů
24	severoamerické
25	Národní
26	hokejové
27	ligy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Prohry	NOUN	21	nsubj
2	nejlepšího	ADJ	3	amod
3	účastníka	NOUN	8	nmod
4	letošního	ADJ	5	amod
5	ročníku	NOUN	3	nmod
6	severoamerické	ADJ	7	amod
7	NHL	PROPN	5	nmod
8	Pittsburghu	PROPN	1	nmod
9	a	CCONJ	18	cc
10	obhájce	NOUN	18	nmod
11	loňského	ADJ	12	amod
12	prvenství	NOUN	10	nmod
13	ve	ADP	15	case
14	Stanleyho	PROPN	15	nmod
15	poháru	NOUN	12	nmod
16	New	ADJ	18	amod
17	York	PROPN	18	nmod
18	Rangers	PROPN	8	conj
19	byly	AUX	21	cop
20	největšími	ADJ	21	amod
21	překvapeními	NOUN	0	root
22	pátečních	ADJ	23	amod
23	zápasů	NOUN	21	nmod
24	severoamerické	ADJ	27	amod
25	Národní	ADJ	27	amod
26	hokejové	ADJ	27	amod
27	ligy	NOUN	23	nmod
28	.	PUNCT	21	punct