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:
Peníze budou podle informací primáře MUDr. Petra Niederleho, který stojí v čele správního orgánu, použity na doplnění vybavení nemocnice na Homolce a dalších pražských ordinací.
Postion	Tokenization
1	Peníze
2	budou
3	podle
4	informací
5	primáře
6	MUDr
7	.
8	Petra
9	Niederleho
10	,
11	který
12	stojí
13	v
14	čele
15	správního
16	orgánu
17	,
18	použity
19	na
20	doplnění
21	vybavení
22	nemocnice
23	na
24	Homolce
25	a
26	dalších
27	pražských
28	ordinací
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Peníze	NOUN	18	nsubj:pass
2	budou	AUX	18	aux:pass
3	podle	ADP	4	case
4	informací	NOUN	18	obl
5	primáře	NOUN	4	nmod
6	MUDr	NOUN	5	nmod
7	.	PUNCT	6	punct
8	Petra	PROPN	5	flat
9	Niederleho	PROPN	5	flat
10	,	PUNCT	12	punct
11	který	DET	12	nsubj
12	stojí	VERB	5	acl:relcl
13	v	ADP	14	case
14	čele	NOUN	12	obl
15	správního	ADJ	16	amod
16	orgánu	NOUN	14	nmod
17	,	PUNCT	12	punct
18	použity	ADJ	0	root
19	na	ADP	20	case
20	doplnění	NOUN	18	obl
21	vybavení	NOUN	20	nmod
22	nemocnice	NOUN	21	nmod
23	na	ADP	24	case
24	Homolce	PROPN	22	nmod
25	a	CCONJ	28	cc
26	dalších	ADJ	28	amod
27	pražských	ADJ	28	amod
28	ordinací	NOUN	22	conj
29	.	PUNCT	18	punct