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:
Koncem minulého roku se technici NASA pokoušeli anténu opravit tím, že stanici natáčeli ke Slunci tak, aby se mechanismus opakovaně nahříval a zase ochlazoval.
Postion	Tokenization
1	Koncem
2	minulého
3	roku
4	se
5	technici
6	NASA
7	pokoušeli
8	anténu
9	opravit
10	tím
11	,
12	že
13	stanici
14	natáčeli
15	ke
16	Slunci
17	tak
18	,
19	aby
20	aby
21	by
22	se
23	mechanismus
24	opakovaně
25	nahříval
26	a
27	zase
28	ochlazoval
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Koncem	NOUN	3	case
2	minulého	ADJ	3	amod
3	roku	NOUN	7	obl
4	se	PRON	7	expl:pv
5	technici	NOUN	7	nsubj
6	NASA	PROPN	5	nmod
7	pokoušeli	VERB	0	root
8	anténu	NOUN	9	obj
9	opravit	VERB	7	xcomp
10	tím	DET	9	obl
11	,	PUNCT	14	punct
12	že	SCONJ	14	mark
13	stanici	NOUN	14	obj
14	natáčeli	VERB	10	acl
15	ke	ADP	16	case
16	Slunci	NOUN	14	obl
17	tak	ADV	14	advmod
18	,	PUNCT	24	punct
19	aby	_	None	_
20	aby	SCONJ	24	mark
21	by	AUX	24	aux
22	se	PRON	24	expl:pass
23	mechanismus	NOUN	24	nsubj:pass
24	opakovaně	ADV	24	advmod
25	nahříval	VERB	14	advcl
26	a	CCONJ	27	cc
27	zase	ADV	27	advmod
28	ochlazoval	VERB	24	conj
29	.	PUNCT	7	punct