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 text: Dále při nedávném jednání o pronájmu objektu ve Starých Splavech, který patří firmě, u níž byl zaměstnán, požadoval na zájemci o pronájem, 50letém R. M. z Prahy, úplatek 2 miliony.
Position	Tokenization	UPOS	Head	Deprel
1	Dále	ADV	21	advmod
2	při	ADP	4	case
3	nedávném	ADJ	4	amod
4	jednání	NOUN	21	obl
5	o	ADP	6	case
6	pronájmu	NOUN	4	nmod
7	objektu	NOUN	6	nmod
8	ve	ADP	10	case
9	Starých	ADJ	10	amod
10	Splavech	NOUN	7	nmod
11	,	PUNCT	13	punct
12	který	DET	13	nsubj
13	patří	VERB	7	acl:relcl
14	firmě	NOUN	13	obl:arg
15	,	PUNCT	19	punct
16	u	ADP	17	case
17	níž	PRON	19	obl
18	byl	AUX	19	aux:pass
19	zaměstnán	ADJ	14	amod
20	,	PUNCT	7	punct
21	požadoval	VERB	0	root
22	na	ADP	23	case
23	zájemci	NOUN	21	obl:arg
24	o	ADP	25	case
25	pronájem	NOUN	23	nmod
26	,	PUNCT	29	punct
27	50	NUM	28	obl
28	letém	ADJ	29	amod
29	R	PROPN	23	appos
30	.	PUNCT	29	punct
31	M	PROPN	29	flat
32	.	PUNCT	29	punct
33	z	ADP	34	case
34	Prahy	PROPN	29	nmod
35	,	PUNCT	29	punct
36	úplatek	NOUN	21	obj
37	2	NUM	38	nummod
38	miliony	NOUN	36	nmod
39	.	PUNCT	21	punct