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:
Frank Williams, šéf stejnojmenného týmu formule 1, včera uvedl, že ze seriálu MS neodstoupí: "Jsme týmem, který se zabývá sportem a v naší práci budeme pokračovat.
Postion	Tokenization
1	Frank
2	Williams
3	,
4	šéf
5	stejnojmenného
6	týmu
7	formule
8	1
9	,
10	včera
11	uvedl
12	,
13	že
14	ze
15	seriálu
16	MS
17	neodstoupí
18	:
19	"
20	Jsme
21	týmem
22	,
23	který
24	se
25	zabývá
26	sportem
27	a
28	v
29	naší
30	práci
31	budeme
32	pokračovat
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Frank	PROPN	11	nsubj
2	Williams	PROPN	1	flat
3	,	PUNCT	4	punct
4	šéf	NOUN	1	appos
5	stejnojmenného	ADJ	6	amod
6	týmu	NOUN	4	nmod
7	formule	NOUN	6	nmod
8	1	NUM	7	nummod
9	,	PUNCT	4	punct
10	včera	ADV	11	advmod
11	uvedl	VERB	0	root
12	,	PUNCT	17	punct
13	že	SCONJ	17	mark
14	ze	ADP	15	case
15	seriálu	NOUN	17	obl
16	MS	NOUN	15	nmod
17	neodstoupí	VERB	11	ccomp
18	:	PUNCT	11	punct
19	"	PUNCT	21	punct
20	Jsme	AUX	21	cop
21	týmem	NOUN	11	parataxis
22	,	PUNCT	25	punct
23	který	DET	25	nsubj
24	se	PRON	25	expl:pv
25	zabývá	VERB	21	acl:relcl
26	sportem	NOUN	25	obl:arg
27	a	CCONJ	32	cc
28	v	ADP	30	case
29	naší	DET	30	det
30	práci	NOUN	32	obl:arg
31	budeme	AUX	32	aux
32	pokračovat	VERB	21	conj
33	.	PUNCT	11	punct