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:
"Zavádí razantní chirurgický řez, ale nemá domyšlenu následnou rehabilitaci," komentoval ministrovo úsilí, aby pacienti platili za pobyt v nemocnici.
Postion	Tokenization
1	"
2	Zavádí
3	razantní
4	chirurgický
5	řez
6	,
7	ale
8	nemá
9	domyšlenu
10	následnou
11	rehabilitaci
12	,
13	"
14	komentoval
15	ministrovo
16	úsilí
17	,
18	aby
19	aby
20	by
21	pacienti
22	platili
23	za
24	pobyt
25	v
26	nemocnici
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Zavádí	VERB	14	advcl
3	razantní	ADJ	5	amod
4	chirurgický	ADJ	5	amod
5	řez	NOUN	2	obj
6	,	PUNCT	8	punct
7	ale	CCONJ	8	cc
8	nemá	VERB	2	conj
9	domyšlenu	ADJ	11	amod
10	následnou	ADJ	11	amod
11	rehabilitaci	NOUN	8	obj
12	,	PUNCT	2	punct
13	"	PUNCT	2	punct
14	komentoval	VERB	0	root
15	ministrovo	ADJ	16	amod
16	úsilí	NOUN	14	obj
17	,	PUNCT	21	punct
18	aby	_	None	_
19	aby	SCONJ	21	mark
20	by	AUX	21	aux
21	pacienti	NOUN	21	nsubj
22	platili	VERB	16	acl
23	za	ADP	23	case
24	pobyt	NOUN	21	obl:arg
25	v	ADP	25	case
26	nemocnici	NOUN	23	nmod
27	.	PUNCT	14	punct