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:
Právě situace těhotného muže, který musí svůj bizarní stav skrývat a vyrovnávat se s ním, je zdrojem většiny komických situací filmu.
Postion	Tokenization
1	Právě
2	situace
3	těhotného
4	muže
5	,
6	který
7	musí
8	svůj
9	bizarní
10	stav
11	skrývat
12	a
13	vyrovnávat
14	se
15	s
16	ním
17	,
18	je
19	zdrojem
20	většiny
21	komických
22	situací
23	filmu
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Právě	ADV	2	advmod:emph
2	situace	NOUN	19	nsubj
3	těhotného	ADJ	4	amod
4	muže	NOUN	2	nmod
5	,	PUNCT	7	punct
6	který	DET	7	nsubj
7	musí	VERB	4	acl:relcl
8	svůj	DET	10	det
9	bizarní	ADJ	10	amod
10	stav	NOUN	11	obj
11	skrývat	VERB	7	xcomp
12	a	CCONJ	13	cc
13	vyrovnávat	VERB	11	conj
14	se	PRON	13	expl:pv
15	s	ADP	16	case
16	ním	PRON	13	obl:arg
17	,	PUNCT	7	punct
18	je	AUX	19	cop
19	zdrojem	NOUN	0	root
20	většiny	NOUN	19	nmod
21	komických	ADJ	22	amod
22	situací	NOUN	20	nmod
23	filmu	NOUN	22	nmod
24	.	PUNCT	19	punct