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:
25. srpna v bezprostřední blízkosti Eiffelovy věže, v době, kdy turisté obdivovali krásy Paříže, prohledal jejich osobní věci v autobuse, v němž na ně čekal.
Postion	Tokenization
1	25
2	.
3	srpna
4	v
5	bezprostřední
6	blízkosti
7	Eiffelovy
8	věže
9	,
10	v
11	době
12	,
13	kdy
14	turisté
15	obdivovali
16	krásy
17	Paříže
18	,
19	prohledal
20	jejich
21	osobní
22	věci
23	v
24	autobuse
25	,
26	v
27	němž
28	na
29	ně
30	čekal
31	.
Position	Tokenization	UPOS	Head	Deprel
1	25	NUM	3	nummod
2	.	PUNCT	1	punct
3	srpna	NOUN	19	obl
4	v	ADP	6	case
5	bezprostřední	ADJ	6	amod
6	blízkosti	NOUN	19	obl
7	Eiffelovy	ADJ	8	amod
8	věže	NOUN	6	nmod
9	,	PUNCT	11	punct
10	v	ADP	11	case
11	době	NOUN	6	conj
12	,	PUNCT	15	punct
13	kdy	ADV	15	advmod
14	turisté	NOUN	15	nsubj
15	obdivovali	VERB	11	acl:relcl
16	krásy	NOUN	15	obj
17	Paříže	PROPN	16	nmod
18	,	PUNCT	15	punct
19	prohledal	VERB	0	root
20	jejich	DET	22	det
21	osobní	ADJ	22	amod
22	věci	NOUN	19	obj
23	v	ADP	24	case
24	autobuse	NOUN	22	nmod
25	,	PUNCT	30	punct
26	v	ADP	27	case
27	němž	PRON	30	obl
28	na	ADP	29	case
29	ně	PRON	30	obl:arg
30	čekal	VERB	24	acl:relcl
31	.	PUNCT	19	punct