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:
Daily Express: "Irské soudy nám prokáží obrovskou službu, pokud použijí proti viníkům nejpřísnější paragrafy, aby zastrašily i ty nejotrlejší chuligány.
Postion	Tokenization
1	Daily
2	Express
3	:
4	"
5	Irské
6	soudy
7	nám
8	prokáží
9	obrovskou
10	službu
11	,
12	pokud
13	použijí
14	proti
15	viníkům
16	nejpřísnější
17	paragrafy
18	,
19	aby
20	aby
21	by
22	zastrašily
23	i
24	ty
25	nejotrlejší
26	chuligány
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Daily	ADJ	2	amod
2	Express	NOUN	0	root
3	:	PUNCT	8	punct
4	"	PUNCT	8	punct
5	Irské	ADJ	6	amod
6	soudy	NOUN	8	nsubj
7	nám	PRON	8	obl:arg
8	prokáží	VERB	2	dep
9	obrovskou	ADJ	10	amod
10	službu	NOUN	8	obj
11	,	PUNCT	13	punct
12	pokud	SCONJ	13	mark
13	použijí	VERB	8	advcl
14	proti	ADP	15	case
15	viníkům	NOUN	13	obl:arg
16	nejpřísnější	ADJ	17	amod
17	paragrafy	NOUN	13	obj
18	,	PUNCT	21	punct
19	aby	_	None	_
20	aby	SCONJ	21	mark
21	by	AUX	21	aux
22	zastrašily	VERB	13	advcl
23	i	CCONJ	25	advmod:emph
24	ty	DET	25	det
25	nejotrlejší	ADJ	25	amod
26	chuligány	NOUN	21	obj
27	.	PUNCT	2	punct