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:
"Smlouva byla udělána tzv. na nulu, ale stanovila také rozdělení případného zisku, 75 procent pro federaci, 25 procent pro Telemundi," řekl pan Broukal.
Postion	Tokenization
1	"
2	Smlouva
3	byla
4	udělána
5	tzv
6	.
7	na
8	nulu
9	,
10	ale
11	stanovila
12	také
13	rozdělení
14	případného
15	zisku
16	,
17	75
18	procent
19	pro
20	federaci
21	,
22	25
23	procent
24	pro
25	Telemundi
26	,
27	"
28	řekl
29	pan
30	Broukal
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Smlouva	NOUN	4	nsubj:pass
3	byla	AUX	4	aux:pass
4	udělána	ADJ	28	obj
5	tzv	ADJ	8	amod
6	.	PUNCT	5	punct
7	na	ADP	8	case
8	nulu	NOUN	4	obl
9	,	PUNCT	11	punct
10	ale	CCONJ	11	cc
11	stanovila	VERB	4	conj
12	také	ADV	11	advmod
13	rozdělení	NOUN	11	obj
14	případného	ADJ	15	amod
15	zisku	NOUN	13	nmod
16	,	PUNCT	18	punct
17	75	NUM	18	nummod:gov
18	procent	NOUN	13	appos
19	pro	ADP	20	case
20	federaci	NOUN	18	nmod
21	,	PUNCT	23	punct
22	25	NUM	23	nummod:gov
23	procent	NOUN	18	conj
24	pro	ADP	25	case
25	Telemundi	PROPN	23	nmod
26	,	PUNCT	4	punct
27	"	PUNCT	4	punct
28	řekl	VERB	0	root
29	pan	NOUN	28	nsubj
30	Broukal	PROPN	29	flat
31	.	PUNCT	28	punct