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:
Sečteme-li výkony fotbalistů Sparty v obou zápasech předkola PMEZ proti IFK Göteborg, tak postup do Ligy mistrů si Pražané opravdu nezasloužili.
Postion	Tokenization
1	Sečteme
2	-
3	li
4	výkony
5	fotbalistů
6	Sparty
7	v
8	obou
9	zápasech
10	předkola
11	PMEZ
12	proti
13	IFK
14	Göteborg
15	,
16	tak
17	postup
18	do
19	Ligy
20	mistrů
21	si
22	Pražané
23	opravdu
24	nezasloužili
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Sečteme	VERB	24	advcl
2	-	PUNCT	1	punct
3	li	PART	1	mark
4	výkony	NOUN	1	obj
5	fotbalistů	NOUN	4	nmod
6	Sparty	PROPN	5	nmod
7	v	ADP	9	case
8	obou	NUM	9	nummod
9	zápasech	NOUN	4	nmod
10	předkola	NOUN	9	nmod
11	PMEZ	PROPN	10	nmod
12	proti	ADP	13	case
13	IFK	PROPN	9	nmod
14	Göteborg	PROPN	13	nmod
15	,	PUNCT	1	punct
16	tak	ADV	24	advmod
17	postup	NOUN	24	obj
18	do	ADP	19	case
19	Ligy	NOUN	17	nmod
20	mistrů	NOUN	19	nmod
21	si	PRON	24	expl:pv
22	Pražané	PROPN	24	nsubj
23	opravdu	ADV	24	advmod
24	nezasloužili	VERB	0	root
25	.	PUNCT	24	punct