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:
Soutěž přinesla dvě bronzové medaile našim autorům: Bohumilu Kheilovi za film Nejlepším dárkem pro novomanžele je Papinův hrnec a dvojici Jaroslav Cita a Petr Berousek za snímek Poslední.
Postion	Tokenization
1	Soutěž
2	přinesla
3	dvě
4	bronzové
5	medaile
6	našim
7	autorům
8	:
9	Bohumilu
10	Kheilovi
11	za
12	film
13	Nejlepším
14	dárkem
15	pro
16	novomanžele
17	je
18	Papinův
19	hrnec
20	a
21	dvojici
22	Jaroslav
23	Cita
24	a
25	Petr
26	Berousek
27	za
28	snímek
29	Poslední
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Soutěž	NOUN	2	nsubj
2	přinesla	VERB	0	root
3	dvě	NUM	5	nummod
4	bronzové	ADJ	5	amod
5	medaile	NOUN	2	obj
6	našim	DET	7	det
7	autorům	NOUN	2	obl:arg
8	:	PUNCT	9	punct
9	Bohumilu	PROPN	2	conj
10	Kheilovi	PROPN	9	flat
11	za	ADP	12	case
12	film	NOUN	9	conj
13	Nejlepším	ADJ	14	amod
14	dárkem	NOUN	12	acl
15	pro	ADP	16	case
16	novomanžele	NOUN	14	nmod
17	je	AUX	14	cop
18	Papinův	ADJ	19	amod
19	hrnec	NOUN	14	nsubj
20	a	CCONJ	21	cc
21	dvojici	NOUN	9	conj
22	Jaroslav	PROPN	21	nmod
23	Cita	PROPN	22	flat
24	a	CCONJ	25	cc
25	Petr	PROPN	22	conj
26	Berousek	PROPN	25	flat
27	za	ADP	28	case
28	snímek	NOUN	9	conj
29	Poslední	ADJ	28	amod
30	.	PUNCT	2	punct