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:
Jestliže před rokem Sparta vyřadila v 1. kole PMEZ AIK Stockholm a cestu do Ligy mistrů jí následně přehradil věhlasný Anderlecht Brusel, tentokrát vypadla s týmem, který v Evropě zvuk příliš nemá.
Postion	Tokenization
1	Jestliže
2	před
3	rokem
4	Sparta
5	vyřadila
6	v
7	1
8	.
9	kole
10	PMEZ
11	AIK
12	Stockholm
13	a
14	cestu
15	do
16	Ligy
17	mistrů
18	jí
19	následně
20	přehradil
21	věhlasný
22	Anderlecht
23	Brusel
24	,
25	tentokrát
26	vypadla
27	s
28	týmem
29	,
30	který
31	v
32	Evropě
33	zvuk
34	příliš
35	nemá
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Jestliže	SCONJ	5	mark
2	před	ADP	3	case
3	rokem	NOUN	5	obl
4	Sparta	PROPN	5	nsubj
5	vyřadila	VERB	26	advcl
6	v	ADP	9	case
7	1	NUM	9	nummod
8	.	PUNCT	7	punct
9	kole	NOUN	5	obl
10	PMEZ	PROPN	9	nmod
11	AIK	PROPN	5	obj
12	Stockholm	PROPN	11	nmod
13	a	CCONJ	20	cc
14	cestu	NOUN	20	obj
15	do	ADP	16	case
16	Ligy	NOUN	14	nmod
17	mistrů	NOUN	16	nmod
18	jí	PRON	20	obl:arg
19	následně	ADV	20	advmod
20	přehradil	VERB	5	conj
21	věhlasný	ADJ	22	amod
22	Anderlecht	PROPN	20	nsubj
23	Brusel	PROPN	22	nmod
24	,	PUNCT	5	punct
25	tentokrát	ADV	26	advmod
26	vypadla	VERB	0	root
27	s	ADP	28	case
28	týmem	NOUN	26	obl
29	,	PUNCT	35	punct
30	který	DET	35	nsubj
31	v	ADP	32	case
32	Evropě	PROPN	35	obl
33	zvuk	NOUN	35	obj
34	příliš	ADV	35	advmod
35	nemá	VERB	28	acl:relcl
36	.	PUNCT	26	punct