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:
Zdravotnické zařízení, jehož provozovatelem je s. r. o. Nemocnice "U Sv. Jiří", vybudovala z bývalých jeslí plzeňská firma Iko nákladem několika desítek milionů korun za necelých pět měsíců.
Postion	Tokenization
1	Zdravotnické
2	zařízení
3	,
4	jehož
5	provozovatelem
6	je
7	s
8	.
9	r
10	.
11	o
12	.
13	Nemocnice
14	"
15	U
16	Sv
17	.
18	Jiří
19	"
20	,
21	vybudovala
22	z
23	bývalých
24	jeslí
25	plzeňská
26	firma
27	Iko
28	nákladem
29	několika
30	desítek
31	milionů
32	korun
33	za
34	necelých
35	pět
36	měsíců
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Zdravotnické	ADJ	2	amod
2	zařízení	NOUN	21	obj
3	,	PUNCT	5	punct
4	jehož	DET	5	det
5	provozovatelem	NOUN	2	acl:relcl
6	je	AUX	5	cop
7	s	NOUN	5	nsubj
8	.	PUNCT	7	punct
9	r	NOUN	7	nmod
10	.	PUNCT	9	punct
11	o	ADJ	9	amod
12	.	PUNCT	11	punct
13	Nemocnice	PROPN	7	nmod
14	"	PUNCT	18	punct
15	U	ADP	18	case
16	Sv	ADJ	18	amod
17	.	PUNCT	16	punct
18	Jiří	PROPN	13	nmod
19	"	PUNCT	18	punct
20	,	PUNCT	5	punct
21	vybudovala	VERB	0	root
22	z	ADP	24	case
23	bývalých	ADJ	24	amod
24	jeslí	NOUN	21	obl:arg
25	plzeňská	ADJ	26	amod
26	firma	NOUN	21	nsubj
27	Iko	PROPN	26	nmod
28	nákladem	NOUN	21	obl
29	několika	DET	30	det:nummod
30	desítek	NOUN	31	nmod
31	milionů	NOUN	32	nmod
32	korun	NOUN	28	nmod
33	za	ADP	36	case
34	necelých	ADJ	36	amod
35	pět	NUM	36	nummod:gov
36	měsíců	NOUN	21	obl
37	.	PUNCT	21	punct