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:
Musely být konstrukčně vyřešeny tak , aby je bylo možno umístit na autobuse , a zároveň musely odolávat vnějším vlivům , řekl Tomáš Beneš .
Postion	Tokenization
1	Musely
2	být
3	konstrukčně
4	vyřešeny
5	tak
6	,
7	aby
8	aby
9	by
10	je
11	bylo
12	možno
13	umístit
14	na
15	autobuse
16	,
17	a
18	zároveň
19	musely
20	odolávat
21	vnějším
22	vlivům
23	,
24	řekl
25	Tomáš
26	Beneš
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Musely	VERB	23	ccomp
2	být	AUX	4	aux:pass
3	konstrukčně	ADV	4	advmod
4	vyřešeny	ADJ	1	obj
5	tak	ADV	4	advmod
6	,	PUNCT	11	punct
7	aby	_	None	_
8	aby	SCONJ	11	mark
9	by	AUX	11	aux
10	je	PRON	12	obj
11	bylo	AUX	11	cop
12	možno	ADJ	4	advcl
13	umístit	VERB	11	csubj
14	na	ADP	14	case
15	autobuse	NOUN	12	obl
16	,	PUNCT	11	punct
17	a	CCONJ	18	cc
18	zároveň	ADV	18	advmod
19	musely	VERB	1	conj
20	odolávat	VERB	18	xcomp
21	vnějším	ADJ	21	amod
22	vlivům	NOUN	19	obl:arg
23	,	PUNCT	1	punct
24	řekl	VERB	0	root
25	Tomáš	PROPN	23	nsubj
26	Beneš	PROPN	24	flat
27	.	PUNCT	23	punct