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 text: Nejprve sice Svoboda vstřelil třetí gól, ale pak během posledních dvou minut normální hrací doby dvakrát překonal Altrichtera, který ve druhé třetině vystřídal zraněného Tótha, Janků (podruhé při power play 15 sekund před sirénou).
Position	Tokenization	UPOS	Head	Deprel
1	Nejprve	ADV	4	advmod
2	sice	ADV	4	cc
3	Svoboda	PROPN	4	nsubj
4	vstřelil	VERB	0	root
5	třetí	ADJ	6	amod
6	gól	NOUN	4	obj
7	,	PUNCT	18	punct
8	ale	CCONJ	18	cc
9	pak	ADV	18	advmod
10	během	ADP	13	case
11	posledních	ADJ	13	amod
12	dvou	NUM	13	nummod
13	minut	NOUN	18	obl
14	normální	ADJ	16	amod
15	hrací	ADJ	16	amod
16	doby	NOUN	13	nmod
17	dvakrát	ADV	18	obl
18	překonal	VERB	4	conj
19	Altrichtera	PROPN	18	obj
20	,	PUNCT	25	punct
21	který	DET	25	nsubj
22	ve	ADP	24	case
23	druhé	ADJ	24	amod
24	třetině	NUM	25	obl
25	vystřídal	VERB	19	acl:relcl
26	zraněného	ADJ	27	amod
27	Tótha	PROPN	25	obj
28	,	PUNCT	27	punct
29	Janků	PROPN	18	nsubj
30	(	PUNCT	31	punct
31	podruhé	ADV	25	obl
32	při	ADP	33	case
33	power	ADJ	25	obl
34	play	NOUN	33	flat:foreign
35	15	NUM	36	nummod:gov
36	sekund	NOUN	25	obl
37	před	ADP	38	case
38	sirénou	NOUN	36	nmod
39	)	PUNCT	36	punct
40	.	PUNCT	4	punct