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:
Soukromé ordinace si chce většina pronajmout a později koupit, rovněž většina hodlá finanční problémy řešit půjčkou nebo bankovním úvěrem, 9% se domnívá, že tyto náklady zvládne z vlastních zdrojů.
Postion	Tokenization
1	Soukromé
2	ordinace
3	si
4	chce
5	většina
6	pronajmout
7	a
8	později
9	koupit
10	,
11	rovněž
12	většina
13	hodlá
14	finanční
15	problémy
16	řešit
17	půjčkou
18	nebo
19	bankovním
20	úvěrem
21	,
22	9
23	%
24	se
25	domnívá
26	,
27	že
28	tyto
29	náklady
30	zvládne
31	z
32	vlastních
33	zdrojů
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Soukromé	ADJ	2	amod
2	ordinace	NOUN	6	obj
3	si	PRON	6	obl
4	chce	VERB	0	root
5	většina	NOUN	4	nsubj
6	pronajmout	VERB	4	xcomp
7	a	CCONJ	9	cc
8	později	ADV	9	advmod
9	koupit	VERB	4	conj
10	,	PUNCT	13	punct
11	rovněž	ADV	12	advmod:emph
12	většina	NOUN	13	nsubj
13	hodlá	VERB	4	conj
14	finanční	ADJ	15	amod
15	problémy	NOUN	16	obj
16	řešit	VERB	13	xcomp
17	půjčkou	NOUN	16	obl
18	nebo	CCONJ	20	cc
19	bankovním	ADJ	20	amod
20	úvěrem	NOUN	17	conj
21	,	PUNCT	25	punct
22	9	NUM	25	nsubj
23	%	SYM	22	nmod
24	se	PRON	25	expl:pv
25	domnívá	VERB	4	conj
26	,	PUNCT	30	punct
27	že	SCONJ	30	mark
28	tyto	DET	29	det
29	náklady	NOUN	30	obj
30	zvládne	VERB	25	ccomp
31	z	ADP	33	case
32	vlastních	ADJ	33	amod
33	zdrojů	NOUN	30	obl
34	.	PUNCT	4	punct