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:
Podle technického ředitele nemocnice Milana Trpišovského by nový areál s 800 lůžky stál zhruba 1.5 miliardy korun, přibližně stejně by stálo vybavení.
Postion	Tokenization
1	Podle
2	technického
3	ředitele
4	nemocnice
5	Milana
6	Trpišovského
7	by
8	nový
9	areál
10	s
11	800
12	lůžky
13	stál
14	zhruba
15	1.5
16	miliardy
17	korun
18	,
19	přibližně
20	stejně
21	by
22	stálo
23	vybavení
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	technického	ADJ	3	amod
3	ředitele	NOUN	13	obl
4	nemocnice	NOUN	3	nmod
5	Milana	PROPN	3	flat
6	Trpišovského	PROPN	3	flat
7	by	AUX	13	aux
8	nový	ADJ	9	amod
9	areál	NOUN	13	nsubj
10	s	ADP	12	case
11	800	NUM	12	nummod
12	lůžky	NOUN	9	nmod
13	stál	VERB	0	root
14	zhruba	ADV	15	advmod:emph
15	1.5	NUM	16	nummod:gov
16	miliardy	NOUN	13	obj
17	korun	NOUN	16	nmod
18	,	PUNCT	22	punct
19	přibližně	ADV	20	advmod
20	stejně	ADV	22	advmod
21	by	AUX	22	aux
22	stálo	VERB	13	conj
23	vybavení	NOUN	22	nsubj
24	.	PUNCT	13	punct