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:
Obě sněmovny amerického Kongresu schválily rezoluci vyzývající ke zrušení zbrojního embarga vůči Bosně, aby tak Muslimové získali možnost se sami bránit proti Srbům.
Postion	Tokenization
1	Obě
2	sněmovny
3	amerického
4	Kongresu
5	schválily
6	rezoluci
7	vyzývající
8	ke
9	zrušení
10	zbrojního
11	embarga
12	vůči
13	Bosně
14	,
15	aby
16	aby
17	by
18	tak
19	Muslimové
20	získali
21	možnost
22	se
23	sami
24	bránit
25	proti
26	Srbům
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Obě	NUM	2	nummod
2	sněmovny	NOUN	5	nsubj
3	amerického	ADJ	4	amod
4	Kongresu	NOUN	2	nmod
5	schválily	VERB	0	root
6	rezoluci	NOUN	5	obj
7	vyzývající	ADJ	6	amod
8	ke	ADP	9	case
9	zrušení	NOUN	7	obl:arg
10	zbrojního	ADJ	11	amod
11	embarga	NOUN	9	nmod
12	vůči	ADP	13	case
13	Bosně	PROPN	11	nmod
14	,	PUNCT	19	punct
15	aby	_	None	_
16	aby	SCONJ	19	mark
17	by	AUX	19	aux
18	tak	ADV	19	advmod
19	Muslimové	NOUN	19	nsubj
20	získali	VERB	5	advcl
21	možnost	NOUN	19	obj
22	se	PRON	23	obj
23	sami	DET	23	obl
24	bránit	VERB	20	acl
25	proti	ADP	25	case
26	Srbům	PROPN	23	obl:arg
27	.	PUNCT	5	punct