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 jeho slov je však její podíl na českém HDP zřejmě nižší než v okolních postkomunistických zemích, kde podle jeho osobního odhadu může dosahovat až čtyřiceti procent.
Postion	Tokenization
1	Podle
2	jeho
3	slov
4	je
5	však
6	její
7	podíl
8	na
9	českém
10	HDP
11	zřejmě
12	nižší
13	než
14	v
15	okolních
16	postkomunistických
17	zemích
18	,
19	kde
20	podle
21	jeho
22	osobního
23	odhadu
24	může
25	dosahovat
26	až
27	čtyřiceti
28	procent
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	jeho	DET	3	det
3	slov	NOUN	12	obl
4	je	AUX	12	cop
5	však	CCONJ	12	cc
6	její	DET	7	det
7	podíl	NOUN	12	nsubj
8	na	ADP	10	case
9	českém	ADJ	10	amod
10	HDP	NOUN	7	nmod
11	zřejmě	ADV	12	advmod
12	nižší	ADJ	0	root
13	než	SCONJ	17	mark
14	v	ADP	17	case
15	okolních	ADJ	17	amod
16	postkomunistických	ADJ	17	amod
17	zemích	NOUN	12	dep
18	,	PUNCT	24	punct
19	kde	ADV	24	advmod
20	podle	ADP	23	case
21	jeho	DET	23	det
22	osobního	ADJ	23	amod
23	odhadu	NOUN	24	obl
24	může	VERB	17	acl:relcl
25	dosahovat	VERB	24	xcomp
26	až	PART	28	advmod:emph
27	čtyřiceti	NUM	28	nummod
28	procent	NOUN	25	obl:arg
29	.	PUNCT	12	punct