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:
Basketbalista Marčuljonis (NBA Golden State Warriors) si při krátkém pobytu v rodné Litvě po nešťastném pádu se schodiště zlomil nohu a dva měsíce nebude hrát.
Postion	Tokenization
1	Basketbalista
2	Marčuljonis
3	(
4	NBA
5	Golden
6	State
7	Warriors
8	)
9	si
10	při
11	krátkém
12	pobytu
13	v
14	rodné
15	Litvě
16	po
17	nešťastném
18	pádu
19	se
20	schodiště
21	zlomil
22	nohu
23	a
24	dva
25	měsíce
26	nebude
27	hrát
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Basketbalista	NOUN	21	nsubj
2	Marčuljonis	PROPN	1	flat
3	(	PUNCT	4	punct
4	NBA	PROPN	1	nmod
5	Golden	PROPN	4	nmod
6	State	ADJ	5	amod
7	Warriors	PROPN	6	flat:foreign
8	)	PUNCT	4	punct
9	si	PRON	21	obl
10	při	ADP	12	case
11	krátkém	ADJ	12	amod
12	pobytu	NOUN	21	obl
13	v	ADP	15	case
14	rodné	ADJ	15	amod
15	Litvě	PROPN	12	nmod
16	po	ADP	18	case
17	nešťastném	ADJ	18	amod
18	pádu	NOUN	21	obl
19	se	ADP	20	case
20	schodiště	NOUN	18	nmod
21	zlomil	VERB	0	root
22	nohu	NOUN	21	obj
23	a	CCONJ	27	cc
24	dva	NUM	25	nummod
25	měsíce	NOUN	27	obl
26	nebude	AUX	27	aux
27	hrát	VERB	21	conj
28	.	PUNCT	21	punct