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:
Druhá nejvyšší suma (100 tisíc) pomůže na světlo světa třetímu svazku Spisů Karla Teiga, jehož se nakonec ujalo další malé nakladatelství, pražská Aurora.
Postion	Tokenization
1	Druhá
2	nejvyšší
3	suma
4	(
5	100
6	tisíc
7	)
8	pomůže
9	na
10	světlo
11	světa
12	třetímu
13	svazku
14	Spisů
15	Karla
16	Teiga
17	,
18	jehož
19	se
20	nakonec
21	ujalo
22	další
23	malé
24	nakladatelství
25	,
26	pražská
27	Aurora
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Druhá	ADJ	3	amod
2	nejvyšší	ADJ	3	amod
3	suma	NOUN	8	nsubj
4	(	PUNCT	5	punct
5	100	NUM	3	appos
6	tisíc	NUM	5	compound
7	)	PUNCT	5	punct
8	pomůže	VERB	0	root
9	na	ADP	10	case
10	světlo	NOUN	8	obl
11	světa	NOUN	10	nmod
12	třetímu	ADJ	13	amod
13	svazku	NOUN	8	obl:arg
14	Spisů	NOUN	13	nmod
15	Karla	PROPN	14	nmod
16	Teiga	PROPN	15	flat
17	,	PUNCT	21	punct
18	jehož	PRON	21	obl:arg
19	se	PRON	21	expl:pv
20	nakonec	ADV	21	advmod
21	ujalo	VERB	13	acl:relcl
22	další	ADJ	24	amod
23	malé	ADJ	24	amod
24	nakladatelství	NOUN	21	nsubj
25	,	PUNCT	27	punct
26	pražská	ADJ	27	amod
27	Aurora	NOUN	24	nmod
28	.	PUNCT	8	punct