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: Trenér vítězného Benešova Jaroslav Hřebík měl důvod k velké radosti, on však projevil lítost nad svým drnovickým kolegou: S trenérem Brücknerem mám velmi dobré vztahy, a je mi líto, že jsme vyhráli právě na jeho hřišti.
Position	Tokenization	UPOS	Head	Deprel
1	Trenér	NOUN	6	nsubj
2	vítězného	ADJ	3	amod
3	Benešova	PROPN	1	nmod
4	Jaroslav	PROPN	1	flat
5	Hřebík	PROPN	1	flat
6	měl	VERB	0	root
7	důvod	NOUN	6	obj
8	k	ADP	10	case
9	velké	ADJ	10	amod
10	radosti	NOUN	7	nmod
11	,	PUNCT	14	punct
12	on	PRON	14	nsubj
13	však	CCONJ	14	cc
14	projevil	VERB	6	conj
15	lítost	NOUN	14	obj
16	nad	ADP	19	case
17	svým	DET	19	det
18	drnovickým	ADJ	19	amod
19	kolegou	NOUN	15	nmod
20	:	PUNCT	24	punct
21	S	ADP	22	case
22	trenérem	NOUN	27	nmod
23	Brücknerem	PROPN	22	flat
24	mám	VERB	6	conj
25	velmi	ADV	26	advmod
26	dobré	ADJ	27	amod
27	vztahy	NOUN	24	obj
28	,	PUNCT	32	punct
29	a	CCONJ	32	cc
30	je	AUX	32	cop
31	mi	PRON	32	obl:arg
32	líto	ADV	24	conj
33	,	PUNCT	36	punct
34	že	SCONJ	36	mark
35	jsme	AUX	36	aux
36	vyhráli	VERB	32	ccomp
37	právě	ADV	40	advmod:emph
38	na	ADP	40	case
39	jeho	DET	40	det
40	hřišti	NOUN	36	obl
41	.	PUNCT	6	punct