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:
Nebo bude tlačit ze stejného důvodu na to, aby se soudní řízení urychlovalo, čímž ale bude zákonitě trpět kvalita rozhodování.
Postion	Tokenization
1	Nebo
2	bude
3	tlačit
4	ze
5	stejného
6	důvodu
7	na
8	to
9	,
10	aby
11	aby
12	by
13	se
14	soudní
15	řízení
16	urychlovalo
17	,
18	čímž
19	ale
20	bude
21	zákonitě
22	trpět
23	kvalita
24	rozhodování
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Nebo	CCONJ	3	cc
2	bude	AUX	3	aux
3	tlačit	VERB	0	root
4	ze	ADP	6	case
5	stejného	ADJ	6	amod
6	důvodu	NOUN	3	obl
7	na	ADP	8	case
8	to	DET	3	obl:arg
9	,	PUNCT	15	punct
10	aby	_	None	_
11	aby	SCONJ	15	mark
12	by	AUX	15	aux
13	se	PRON	15	expl:pass
14	soudní	ADJ	14	amod
15	řízení	NOUN	15	nsubj:pass
16	urychlovalo	VERB	8	acl
17	,	PUNCT	21	punct
18	čímž	PRON	21	obl
19	ale	CCONJ	21	cc
20	bude	AUX	21	aux
21	zákonitě	ADV	21	advmod
22	trpět	VERB	15	conj
23	kvalita	NOUN	21	nsubj
24	rozhodování	NOUN	22	nmod
25	.	PUNCT	3	punct