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:
Mezi tyčemi se zřejmě znovu objeví Šimurka, i když také Pařízek, který si na podzim zlomil nohu v Norrköpingu, je už fit a připraven nastoupit.
Postion	Tokenization
1	Mezi
2	tyčemi
3	se
4	zřejmě
5	znovu
6	objeví
7	Šimurka
8	,
9	i
10	když
11	také
12	Pařízek
13	,
14	který
15	si
16	na
17	podzim
18	zlomil
19	nohu
20	v
21	Norrköpingu
22	,
23	je
24	už
25	fit
26	a
27	připraven
28	nastoupit
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Mezi	ADP	2	case
2	tyčemi	NOUN	6	obl
3	se	PRON	6	expl:pv
4	zřejmě	ADV	6	advmod
5	znovu	ADV	6	advmod
6	objeví	VERB	0	root
7	Šimurka	PROPN	6	nsubj
8	,	PUNCT	25	punct
9	i	CCONJ	25	mark
10	když	SCONJ	9	fixed
11	také	ADV	12	advmod:emph
12	Pařízek	PROPN	25	nsubj
13	,	PUNCT	18	punct
14	který	DET	18	nsubj
15	si	PRON	18	obl
16	na	ADP	17	case
17	podzim	NOUN	18	obl
18	zlomil	VERB	12	acl:relcl
19	nohu	NOUN	18	obj
20	v	ADP	21	case
21	Norrköpingu	PROPN	18	obl
22	,	PUNCT	18	punct
23	je	AUX	25	cop
24	už	ADV	25	advmod
25	fit	ADJ	6	advcl
26	a	CCONJ	27	cc
27	připraven	ADJ	25	conj
28	nastoupit	VERB	27	xcomp
29	.	PUNCT	6	punct