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:
Princezna Diana se po deseti měsících rozhodla vrátit výrobci Mercedes 500 SL, který si loni v prosinci najala na měsíční splátky ve výši 1250 liber (asi 62500 Kčs).
Postion	Tokenization
1	Princezna
2	Diana
3	se
4	po
5	deseti
6	měsících
7	rozhodla
8	vrátit
9	výrobci
10	Mercedes
11	500
12	SL
13	,
14	který
15	si
16	loni
17	v
18	prosinci
19	najala
20	na
21	měsíční
22	splátky
23	ve
24	výši
25	1250
26	liber
27	(
28	asi
29	62500
30	Kčs
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Princezna	NOUN	7	nsubj
2	Diana	PROPN	1	flat
3	se	PRON	7	expl:pv
4	po	ADP	6	case
5	deseti	NUM	6	nummod
6	měsících	NOUN	7	obl
7	rozhodla	VERB	0	root
8	vrátit	VERB	7	xcomp
9	výrobci	NOUN	8	obl:arg
10	Mercedes	PROPN	8	obj
11	500	NUM	10	nummod
12	SL	PROPN	10	nmod
13	,	PUNCT	19	punct
14	který	DET	19	obj
15	si	PRON	19	obl
16	loni	ADV	19	advmod
17	v	ADP	18	case
18	prosinci	NOUN	19	obl
19	najala	VERB	10	acl:relcl
20	na	ADP	22	case
21	měsíční	ADJ	22	amod
22	splátky	NOUN	19	obl
23	ve	ADP	24	case
24	výši	NOUN	22	nmod
25	1250	NUM	26	nummod:gov
26	liber	NOUN	24	nmod
27	(	PUNCT	29	punct
28	asi	PART	29	advmod:emph
29	62500	NUM	25	compound
30	Kčs	NOUN	29	nmod
31	)	PUNCT	29	punct
32	.	PUNCT	7	punct