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 text: Tyčkařský sektor ve strahovské nafukovačce byl během čtyřiadvaceti hodin svědkem dvou českých rekordů a Daniela Bártová přidala v neděli navíc jako bonbónek rekord evropský (o tomto závodě píšeme na jiném místě), který má nyní hodnotu 4.09 metrů.
Position	Tokenization	UPOS	Head	Deprel
1	Tyčkařský	ADJ	2	amod
2	sektor	NOUN	10	nsubj
3	ve	ADP	5	case
4	strahovské	ADJ	5	amod
5	nafukovačce	NOUN	2	nmod
6	byl	AUX	10	cop
7	během	ADP	9	case
8	čtyřiadvaceti	NUM	9	nummod
9	hodin	NOUN	10	obl
10	svědkem	NOUN	0	root
11	dvou	NUM	13	nummod
12	českých	ADJ	13	amod
13	rekordů	NOUN	10	nmod
14	a	CCONJ	17	cc
15	Daniela	PROPN	17	nsubj
16	Bártová	PROPN	15	flat
17	přidala	VERB	10	conj
18	v	ADP	19	case
19	neděli	NOUN	17	obl
20	navíc	ADV	17	advmod
21	jako	SCONJ	22	mark
22	bonbónek	NOUN	23	xcomp
23	rekord	NOUN	17	obj
24	evropský	ADJ	23	amod
25	(	PUNCT	29	punct
26	o	ADP	28	case
27	tomto	DET	28	det
28	závodě	NOUN	29	obl:arg
29	píšeme	VERB	17	parataxis
30	na	ADP	32	case
31	jiném	ADJ	32	amod
32	místě	NOUN	29	obl
33	)	PUNCT	29	punct
34	,	PUNCT	36	punct
35	který	DET	36	nsubj
36	má	VERB	23	acl:relcl
37	nyní	ADV	36	advmod
38	hodnotu	NOUN	36	obj
39	4.09	NUM	40	nummod:gov
40	metrů	NOUN	38	nmod
41	.	PUNCT	10	punct