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:
Texaský kongresman Pickle se nyní snaží připojit ke Clintonovu návrhu zákona o boji proti zločinnosti dodatek, který by peníze Pellovy nadace vyloučil z bezplatných studijních programů odsouzených.
Postion	Tokenization
1	Texaský
2	kongresman
3	Pickle
4	se
5	nyní
6	snaží
7	připojit
8	ke
9	Clintonovu
10	návrhu
11	zákona
12	o
13	boji
14	proti
15	zločinnosti
16	dodatek
17	,
18	který
19	by
20	peníze
21	Pellovy
22	nadace
23	vyloučil
24	z
25	bezplatných
26	studijních
27	programů
28	odsouzených
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Texaský	ADJ	2	amod
2	kongresman	NOUN	6	nsubj
3	Pickle	PROPN	2	flat
4	se	PRON	6	expl:pv
5	nyní	ADV	6	advmod
6	snaží	VERB	0	root
7	připojit	VERB	6	xcomp
8	ke	ADP	10	case
9	Clintonovu	ADJ	10	amod
10	návrhu	NOUN	7	obl
11	zákona	NOUN	10	nmod
12	o	ADP	13	case
13	boji	NOUN	11	nmod
14	proti	ADP	15	case
15	zločinnosti	NOUN	13	nmod
16	dodatek	NOUN	7	obj
17	,	PUNCT	23	punct
18	který	DET	23	nsubj
19	by	AUX	23	aux
20	peníze	NOUN	23	obj
21	Pellovy	ADJ	22	amod
22	nadace	NOUN	20	nmod
23	vyloučil	VERB	16	acl:relcl
24	z	ADP	27	case
25	bezplatných	ADJ	27	amod
26	studijních	ADJ	27	amod
27	programů	NOUN	23	obl
28	odsouzených	ADJ	27	amod
29	.	PUNCT	6	punct