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:
Z většiny znaleckých zpráv vyplývalo, že způsob léčby Danielky nebyl vhodný a slušný nebyl ani způsob, jakým se k nešťastné matce chovali někteří lékaři.
Postion	Tokenization
1	Z
2	většiny
3	znaleckých
4	zpráv
5	vyplývalo
6	,
7	že
8	způsob
9	léčby
10	Danielky
11	nebyl
12	vhodný
13	a
14	slušný
15	nebyl
16	ani
17	způsob
18	,
19	jakým
20	se
21	k
22	nešťastné
23	matce
24	chovali
25	někteří
26	lékaři
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	2	case
2	většiny	NOUN	5	obl:arg
3	znaleckých	ADJ	4	amod
4	zpráv	NOUN	2	nmod
5	vyplývalo	VERB	0	root
6	,	PUNCT	12	punct
7	že	SCONJ	12	mark
8	způsob	NOUN	12	nsubj
9	léčby	NOUN	8	nmod
10	Danielky	PROPN	9	nmod
11	nebyl	AUX	12	cop
12	vhodný	ADJ	5	csubj
13	a	CCONJ	14	cc
14	slušný	ADJ	5	conj
15	nebyl	AUX	14	cop
16	ani	CCONJ	17	advmod:emph
17	způsob	NOUN	14	nsubj
18	,	PUNCT	24	punct
19	jakým	DET	24	obl
20	se	PRON	24	expl:pv
21	k	ADP	23	case
22	nešťastné	ADJ	23	amod
23	matce	NOUN	24	obl:arg
24	chovali	VERB	17	acl:relcl
25	někteří	DET	26	det
26	lékaři	NOUN	24	nsubj
27	.	PUNCT	5	punct