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:
Když přišel český hokejista Jaromír Jágr (23 let) v roce 1990 do týmu zámořské NHL Pittsburgh Penguins, změnili fanoušci přesmyčkou jeho křestní jméno na Mario jr.
Postion	Tokenization
1	Když
2	přišel
3	český
4	hokejista
5	Jaromír
6	Jágr
7	(
8	23
9	let
10	)
11	v
12	roce
13	1990
14	do
15	týmu
16	zámořské
17	NHL
18	Pittsburgh
19	Penguins
20	,
21	změnili
22	fanoušci
23	přesmyčkou
24	jeho
25	křestní
26	jméno
27	na
28	Mario
29	jr
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	2	mark
2	přišel	VERB	21	advcl
3	český	ADJ	4	amod
4	hokejista	NOUN	2	nsubj
5	Jaromír	PROPN	4	flat
6	Jágr	PROPN	4	flat
7	(	PUNCT	4	punct
8	23	NUM	9	nummod:gov
9	let	NOUN	4	dep
10	)	PUNCT	4	punct
11	v	ADP	12	case
12	roce	NOUN	2	obl
13	1990	NUM	12	nummod
14	do	ADP	15	case
15	týmu	NOUN	2	obl
16	zámořské	ADJ	17	amod
17	NHL	PROPN	15	nmod
18	Pittsburgh	PROPN	19	nmod
19	Penguins	PROPN	15	nmod
20	,	PUNCT	2	punct
21	změnili	VERB	0	root
22	fanoušci	NOUN	21	nsubj
23	přesmyčkou	NOUN	21	obl
24	jeho	DET	26	det
25	křestní	ADJ	26	amod
26	jméno	NOUN	21	obj
27	na	ADP	28	case
28	Mario	PROPN	21	obl
29	jr	NOUN	28	nmod
30	.	PUNCT	21	punct