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:
Protože zdravotnická zařízení v ČR nemají s podobnými zákroky zkušenosti a chybí jim i potřebné vybavení, bude desetiletý pacient operován v Anglii, pravděpodobně v Bristolu.
Postion	Tokenization
1	Protože
2	zdravotnická
3	zařízení
4	v
5	ČR
6	nemají
7	s
8	podobnými
9	zákroky
10	zkušenosti
11	a
12	chybí
13	jim
14	i
15	potřebné
16	vybavení
17	,
18	bude
19	desetiletý
20	pacient
21	operován
22	v
23	Anglii
24	,
25	pravděpodobně
26	v
27	Bristolu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Protože	SCONJ	6	mark
2	zdravotnická	ADJ	3	amod
3	zařízení	NOUN	6	nsubj
4	v	ADP	5	case
5	ČR	PROPN	3	nmod
6	nemají	VERB	21	advcl
7	s	ADP	9	case
8	podobnými	ADJ	9	amod
9	zákroky	NOUN	10	nmod
10	zkušenosti	NOUN	6	obj
11	a	CCONJ	12	cc
12	chybí	VERB	6	conj
13	jim	PRON	12	obl:arg
14	i	CCONJ	16	advmod:emph
15	potřebné	ADJ	16	amod
16	vybavení	NOUN	12	nsubj
17	,	PUNCT	6	punct
18	bude	AUX	21	aux:pass
19	desetiletý	ADJ	20	amod
20	pacient	NOUN	21	nsubj:pass
21	operován	ADJ	0	root
22	v	ADP	23	case
23	Anglii	PROPN	21	obl
24	,	PUNCT	21	punct
25	pravděpodobně	ADV	21	cc
26	v	ADP	27	case
27	Bristolu	PROPN	21	obl
28	.	PUNCT	21	punct