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 nich se 71 procent východních Němců domnívá, že socialismus byl dobrá věc, jenom prý v časech NDR chyběli správní politici.
Postion	Tokenization
1	Podle
2	nich
3	se
4	71
5	procent
6	východních
7	Němců
8	domnívá
9	,
10	že
11	socialismus
12	byl
13	dobrá
14	věc
15	,
16	jenom
17	prý
18	v
19	časech
20	NDR
21	chyběli
22	správní
23	politici
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	nich	PRON	8	obl
3	se	PRON	8	expl:pv
4	71	NUM	5	nummod:gov
5	procent	NOUN	8	nsubj
6	východních	ADJ	7	amod
7	Němců	PROPN	5	nmod
8	domnívá	VERB	0	root
9	,	PUNCT	14	punct
10	že	SCONJ	14	mark
11	socialismus	NOUN	14	nsubj
12	byl	AUX	14	cop
13	dobrá	ADJ	14	amod
14	věc	NOUN	8	ccomp
15	,	PUNCT	21	punct
16	jenom	PART	21	advmod:emph
17	prý	PART	21	advmod
18	v	ADP	19	case
19	časech	NOUN	21	obl
20	NDR	PROPN	19	nmod
21	chyběli	VERB	14	conj
22	správní	ADJ	23	amod
23	politici	NOUN	21	nsubj
24	.	PUNCT	8	punct