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:
Po čtyřech měsících poprvé na bruslích a hned tolik lapat po dechu...," kroutil hlavou včera večer ve Velkých Popovicích trojnásobný vítěz Stanley Cupu Jiří Hrdina.
Postion	Tokenization
1	Po
2	čtyřech
3	měsících
4	poprvé
5	na
6	bruslích
7	a
8	hned
9	tolik
10	lapat
11	po
12	dechu
13	.
14	.
15	.
16	,
17	"
18	kroutil
19	hlavou
20	včera
21	večer
22	ve
23	Velkých
24	Popovicích
25	trojnásobný
26	vítěz
27	Stanley
28	Cupu
29	Jiří
30	Hrdina
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	3	case
2	čtyřech	NUM	3	nummod
3	měsících	NOUN	10	dep
4	poprvé	ADV	10	dep
5	na	ADP	6	case
6	bruslích	NOUN	10	dep
7	a	CCONJ	10	cc
8	hned	ADV	10	advmod
9	tolik	ADV	10	advmod
10	lapat	VERB	0	root
11	po	ADP	12	case
12	dechu	NOUN	10	obl
13	.	PUNCT	10	punct
14	.	PUNCT	10	punct
15	.	PUNCT	10	punct
16	,	PUNCT	10	punct
17	"	PUNCT	10	punct
18	kroutil	VERB	10	conj
19	hlavou	NOUN	18	obl
20	včera	ADV	18	advmod
21	večer	ADV	20	advmod
22	ve	ADP	24	case
23	Velkých	ADJ	24	amod
24	Popovicích	PROPN	18	obl
25	trojnásobný	ADJ	26	amod
26	vítěz	NOUN	18	nsubj
27	Stanley	PROPN	26	nmod
28	Cupu	PROPN	27	flat
29	Jiří	PROPN	26	flat
30	Hrdina	PROPN	26	flat
31	.	PUNCT	10	punct