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 text: Natalja Lakšinová z Minska LN sdělila, že osmdesát procent dětí, které přijíždějí na ozdravné pobyty do ČR, mají zvětšenou štítnou žlázu a mnohé trpí chudokrevností.
Position	Tokenization	UPOS	Head	Deprel
1	Natalja	PROPN	6	nsubj
2	Lakšinová	PROPN	1	flat
3	z	ADP	4	case
4	Minska	PROPN	1	nmod
5	LN	PROPN	6	iobj
6	sdělila	VERB	0	root
7	,	PUNCT	21	punct
8	že	SCONJ	21	mark
9	osmdesát	NUM	10	nummod:gov
10	procent	NOUN	21	nsubj
11	dětí	NOUN	10	nmod
12	,	PUNCT	14	punct
13	které	DET	14	nsubj
14	přijíždějí	VERB	11	acl:relcl
15	na	ADP	17	case
16	ozdravné	ADJ	17	amod
17	pobyty	NOUN	14	obl
18	do	ADP	19	case
19	ČR	PROPN	14	obl
20	,	PUNCT	14	punct
21	mají	VERB	6	ccomp
22	zvětšenou	ADJ	24	amod
23	štítnou	ADJ	24	amod
24	žlázu	NOUN	21	obj
25	a	CCONJ	27	cc
26	mnohé	ADJ	27	nsubj
27	trpí	VERB	21	conj
28	chudokrevností	NOUN	27	obl:arg
29	.	PUNCT	6	punct