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:
Tím mi vyloženě útočí na zdraví a rodinnou pohodu, protože večer jsem unaven a nemohu v posteli podávat takové výkony, na jaké byla dříve manželka zvyklá.
Postion	Tokenization
1	Tím
2	mi
3	vyloženě
4	útočí
5	na
6	zdraví
7	a
8	rodinnou
9	pohodu
10	,
11	protože
12	večer
13	jsem
14	unaven
15	a
16	nemohu
17	v
18	posteli
19	podávat
20	takové
21	výkony
22	,
23	na
24	jaké
25	byla
26	dříve
27	manželka
28	zvyklá
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Tím	DET	4	obl
2	mi	PRON	4	obl:arg
3	vyloženě	ADV	4	advmod
4	útočí	VERB	0	root
5	na	ADP	6	case
6	zdraví	NOUN	4	obl
7	a	CCONJ	9	cc
8	rodinnou	ADJ	9	amod
9	pohodu	NOUN	6	conj
10	,	PUNCT	14	punct
11	protože	SCONJ	14	mark
12	večer	ADV	14	advmod
13	jsem	AUX	14	aux:pass
14	unaven	ADJ	4	obl
15	a	CCONJ	16	cc
16	nemohu	VERB	14	conj
17	v	ADP	18	case
18	posteli	NOUN	16	obl
19	podávat	VERB	16	xcomp
20	takové	DET	21	det
21	výkony	NOUN	19	obj
22	,	PUNCT	28	punct
23	na	ADP	24	case
24	jaké	DET	28	obl:arg
25	byla	AUX	28	cop
26	dříve	ADV	28	advmod
27	manželka	NOUN	28	nsubj
28	zvyklá	ADJ	21	acl:relcl
29	.	PUNCT	4	punct