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:
Letošní literární cena Jaroslava Seiferta byla včera v Praze udělena Josefu Hiršalovi za knihu Píseň mládí a Ivanu Wernischovi za knihu básnických překladů Frc.
Postion	Tokenization
1	Letošní
2	literární
3	cena
4	Jaroslava
5	Seiferta
6	byla
7	včera
8	v
9	Praze
10	udělena
11	Josefu
12	Hiršalovi
13	za
14	knihu
15	Píseň
16	mládí
17	a
18	Ivanu
19	Wernischovi
20	za
21	knihu
22	básnických
23	překladů
24	Frc
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Letošní	ADJ	3	amod
2	literární	ADJ	3	amod
3	cena	NOUN	10	nsubj:pass
4	Jaroslava	PROPN	3	nmod
5	Seiferta	PROPN	4	flat
6	byla	AUX	10	aux:pass
7	včera	ADV	10	advmod
8	v	ADP	9	case
9	Praze	PROPN	10	obl
10	udělena	ADJ	0	root
11	Josefu	PROPN	10	obl:arg
12	Hiršalovi	PROPN	11	flat
13	za	ADP	14	case
14	knihu	NOUN	11	conj
15	Píseň	NOUN	14	nmod
16	mládí	NOUN	15	nmod
17	a	CCONJ	18	cc
18	Ivanu	PROPN	11	conj
19	Wernischovi	PROPN	18	flat
20	za	ADP	21	case
21	knihu	NOUN	11	conj
22	básnických	ADJ	23	amod
23	překladů	NOUN	21	nmod
24	Frc	NOUN	21	nmod
25	.	PUNCT	10	punct