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:
V minulých dnech jsme dokonce museli z mantinelů mazat jména některých sponzorů, protože se přihlásili další, kteří nabízejí více peněz, uzavírá Horst Valášek.
Postion	Tokenization
1	V
2	minulých
3	dnech
4	jsme
5	dokonce
6	museli
7	z
8	mantinelů
9	mazat
10	jména
11	některých
12	sponzorů
13	,
14	protože
15	se
16	přihlásili
17	další
18	,
19	kteří
20	nabízejí
21	více
22	peněz
23	,
24	uzavírá
25	Horst
26	Valášek
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	minulých	ADJ	3	amod
3	dnech	NOUN	6	obl
4	jsme	AUX	6	aux
5	dokonce	ADV	6	advmod:emph
6	museli	VERB	0	root
7	z	ADP	8	case
8	mantinelů	NOUN	9	obl
9	mazat	VERB	6	xcomp
10	jména	NOUN	9	obj
11	některých	DET	12	det
12	sponzorů	NOUN	10	nmod
13	,	PUNCT	16	punct
14	protože	SCONJ	16	mark
15	se	PRON	16	expl:pv
16	přihlásili	VERB	6	advcl
17	další	ADJ	16	nsubj
18	,	PUNCT	20	punct
19	kteří	DET	20	nsubj
20	nabízejí	VERB	17	acl:relcl
21	více	ADV	20	obj
22	peněz	NOUN	21	nmod
23	,	PUNCT	24	punct
24	uzavírá	VERB	6	conj
25	Horst	PROPN	24	nsubj
26	Valášek	PROPN	25	flat
27	.	PUNCT	6	punct