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:
Tím se mělo odsunout rozhodnutí o osudu Židů v dolní zemi, protože se počítalo jak s mezinárodním nátlakem, tak s válečným vývojem v neprospěch Německa.
Postion	Tokenization
1	Tím
2	se
3	mělo
4	odsunout
5	rozhodnutí
6	o
7	osudu
8	Židů
9	v
10	dolní
11	zemi
12	,
13	protože
14	se
15	počítalo
16	jak
17	s
18	mezinárodním
19	nátlakem
20	,
21	tak
22	s
23	válečným
24	vývojem
25	v
26	neprospěch
27	Německa
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Tím	DET	4	obl
2	se	PRON	3	expl:pass
3	mělo	VERB	0	root
4	odsunout	VERB	3	xcomp
5	rozhodnutí	NOUN	3	nsubj:pass
6	o	ADP	7	case
7	osudu	NOUN	5	nmod
8	Židů	PROPN	7	nmod
9	v	ADP	11	case
10	dolní	ADJ	11	amod
11	zemi	NOUN	8	nmod
12	,	PUNCT	15	punct
13	protože	SCONJ	15	mark
14	se	PRON	15	expl:pass
15	počítalo	VERB	3	advcl
16	jak	ADV	19	cc
17	s	ADP	19	case
18	mezinárodním	ADJ	19	amod
19	nátlakem	NOUN	15	obl:arg
20	,	PUNCT	24	punct
21	tak	ADV	24	cc
22	s	ADP	24	case
23	válečným	ADJ	24	amod
24	vývojem	NOUN	19	conj
25	v	ADP	26	case
26	neprospěch	NOUN	24	nmod
27	Německa	PROPN	26	nmod
28	.	PUNCT	3	punct