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:
Hráči z Čech se včera sešli v Praze na Julisce, odkud se vydali do Ostravy, kde se k nim přidala moravská část.
Postion	Tokenization
1	Hráči
2	z
3	Čech
4	se
5	včera
6	sešli
7	v
8	Praze
9	na
10	Julisce
11	,
12	odkud
13	se
14	vydali
15	do
16	Ostravy
17	,
18	kde
19	se
20	k
21	nim
22	přidala
23	moravská
24	část
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Hráči	NOUN	6	nsubj
2	z	ADP	3	case
3	Čech	PROPN	1	nmod
4	se	PRON	6	expl:pv
5	včera	ADV	6	advmod
6	sešli	VERB	0	root
7	v	ADP	8	case
8	Praze	PROPN	6	obl
9	na	ADP	10	case
10	Julisce	PROPN	6	obl
11	,	PUNCT	14	punct
12	odkud	ADV	14	advmod
13	se	PRON	14	expl:pv
14	vydali	VERB	10	acl:relcl
15	do	ADP	16	case
16	Ostravy	PROPN	14	obl
17	,	PUNCT	22	punct
18	kde	ADV	22	advmod
19	se	PRON	22	expl:pv
20	k	ADP	21	case
21	nim	PRON	22	obl
22	přidala	VERB	16	acl:relcl
23	moravská	ADJ	24	amod
24	část	NOUN	22	nsubj
25	.	PUNCT	6	punct