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:
Podle něj se němečtí chlapci nechovali o nic hůř než stejně staří Češi a podle něj se situace účelně a záměrně zhysterizovala.
Postion	Tokenization
1	Podle
2	něj
3	se
4	němečtí
5	chlapci
6	nechovali
7	o
8	nic
9	hůř
10	než
11	stejně
12	staří
13	Češi
14	a
15	podle
16	něj
17	se
18	situace
19	účelně
20	a
21	záměrně
22	zhysterizovala
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	něj	PRON	6	obl
3	se	PRON	6	expl:pv
4	němečtí	ADJ	5	amod
5	chlapci	NOUN	6	nsubj
6	nechovali	VERB	0	root
7	o	ADP	8	case
8	nic	PRON	9	obl
9	hůř	ADV	6	advmod
10	než	SCONJ	13	mark
11	stejně	ADV	12	advmod
12	staří	ADJ	13	amod
13	Češi	PROPN	9	advcl
14	a	CCONJ	22	cc
15	podle	ADP	16	case
16	něj	PRON	22	obl
17	se	PRON	22	expl:pass
18	situace	NOUN	22	nsubj:pass
19	účelně	ADV	22	advmod
20	a	CCONJ	21	cc
21	záměrně	ADV	19	conj
22	zhysterizovala	VERB	6	conj
23	.	PUNCT	6	punct