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:
Třináct tisíc svazků odborné americké literatury (tři a půl tisíce titulů) v hodnotě přes čtvrt milionu dolarů nabízí ke koupi v průběhu září česká nadace Centrum pro demokracii a svobodné podnikání.
Postion	Tokenization
1	Třináct
2	tisíc
3	svazků
4	odborné
5	americké
6	literatury
7	(
8	tři
9	a
10	půl
11	tisíce
12	titulů
13	)
14	v
15	hodnotě
16	přes
17	čtvrt
18	milionu
19	dolarů
20	nabízí
21	ke
22	koupi
23	v
24	průběhu
25	září
26	česká
27	nadace
28	Centrum
29	pro
30	demokracii
31	a
32	svobodné
33	podnikání
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Třináct	NUM	3	nummod:gov
2	tisíc	NUM	3	nummod:gov
3	svazků	NOUN	20	obl
4	odborné	ADJ	6	amod
5	americké	ADJ	6	amod
6	literatury	NOUN	3	nmod
7	(	PUNCT	11	punct
8	tři	NUM	11	nummod
9	a	CCONJ	10	cc
10	půl	NOUN	8	conj
11	tisíce	NOUN	1	appos
12	titulů	NOUN	11	nmod
13	)	PUNCT	11	punct
14	v	ADP	15	case
15	hodnotě	NOUN	1	nmod
16	přes	ADP	17	case
17	čtvrt	NOUN	15	nmod
18	milionu	NOUN	17	nmod
19	dolarů	NOUN	18	nmod
20	nabízí	VERB	0	root
21	ke	ADP	22	case
22	koupi	NOUN	20	obl
23	v	ADP	25	case
24	průběhu	NOUN	23	fixed
25	září	NOUN	20	obl
26	česká	ADJ	27	amod
27	nadace	NOUN	20	nsubj
28	Centrum	NOUN	27	nmod
29	pro	ADP	30	case
30	demokracii	NOUN	28	nmod
31	a	CCONJ	33	cc
32	svobodné	ADJ	33	amod
33	podnikání	NOUN	30	conj
34	.	PUNCT	20	punct