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:
Marek Holub, ředitel afilace Seagram Company, která Martell vlastní, uvedl, že jeho firma si dala udělat expertizu zejména o sledovanosti pardubického dostihu.
Postion	Tokenization
1	Marek
2	Holub
3	,
4	ředitel
5	afilace
6	Seagram
7	Company
8	,
9	která
10	Martell
11	vlastní
12	,
13	uvedl
14	,
15	že
16	jeho
17	firma
18	si
19	dala
20	udělat
21	expertizu
22	zejména
23	o
24	sledovanosti
25	pardubického
26	dostihu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Marek	PROPN	13	nsubj
2	Holub	PROPN	1	flat
3	,	PUNCT	4	punct
4	ředitel	NOUN	1	appos
5	afilace	NOUN	4	nmod
6	Seagram	PROPN	5	nmod
7	Company	PROPN	6	flat:foreign
8	,	PUNCT	11	punct
9	která	DET	11	nsubj
10	Martell	PROPN	11	obj
11	vlastní	VERB	5	acl:relcl
12	,	PUNCT	11	punct
13	uvedl	VERB	0	root
14	,	PUNCT	19	punct
15	že	SCONJ	19	mark
16	jeho	DET	17	det
17	firma	NOUN	19	nsubj
18	si	PRON	20	obl
19	dala	VERB	13	ccomp
20	udělat	VERB	19	xcomp
21	expertizu	NOUN	20	obj
22	zejména	ADV	24	advmod:emph
23	o	ADP	24	case
24	sledovanosti	NOUN	21	nmod
25	pardubického	ADJ	26	amod
26	dostihu	NOUN	24	nmod
27	.	PUNCT	13	punct