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:
Vítěz Závodu míru 1949 se tam jako čestný host dozvěděl o prémiích pro současné cyklisty, které za dva trutnovské dny činily celkem 120000 Kčs.
Postion	Tokenization
1	Vítěz
2	Závodu
3	míru
4	1949
5	se
6	tam
7	jako
8	čestný
9	host
10	dozvěděl
11	o
12	prémiích
13	pro
14	současné
15	cyklisty
16	,
17	které
18	za
19	dva
20	trutnovské
21	dny
22	činily
23	celkem
24	120000
25	Kčs
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Vítěz	NOUN	10	nsubj
2	Závodu	NOUN	1	nmod
3	míru	NOUN	2	nmod
4	1949	NUM	3	nummod
5	se	PRON	10	expl:pv
6	tam	ADV	10	advmod
7	jako	SCONJ	9	mark
8	čestný	ADJ	9	amod
9	host	NOUN	1	xcomp
10	dozvěděl	VERB	0	root
11	o	ADP	12	case
12	prémiích	NOUN	10	obl:arg
13	pro	ADP	15	case
14	současné	ADJ	15	amod
15	cyklisty	NOUN	12	nmod
16	,	PUNCT	22	punct
17	které	DET	22	nsubj
18	za	ADP	21	case
19	dva	NUM	21	nummod
20	trutnovské	ADJ	21	amod
21	dny	NOUN	22	obl
22	činily	VERB	12	acl:relcl
23	celkem	ADV	22	advmod
24	120000	NUM	22	obj
25	Kčs	NOUN	24	nmod
26	.	PUNCT	10	punct