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:
Jde o reakci na sobotní rozšíření izraelské rybářské blokády proti jiholibanonským přístavům Sajdá a Súr severním směrem až k přístavnímu městu Damúr, ležícímu pouhých 18 kilometrů pod Bejrútem.
Postion	Tokenization
1	Jde
2	o
3	reakci
4	na
5	sobotní
6	rozšíření
7	izraelské
8	rybářské
9	blokády
10	proti
11	jiholibanonským
12	přístavům
13	Sajdá
14	a
15	Súr
16	severním
17	směrem
18	až
19	k
20	přístavnímu
21	městu
22	Damúr
23	,
24	ležícímu
25	pouhých
26	18
27	kilometrů
28	pod
29	Bejrútem
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Jde	VERB	0	root
2	o	ADP	3	case
3	reakci	NOUN	1	obl:arg
4	na	ADP	6	case
5	sobotní	ADJ	6	amod
6	rozšíření	NOUN	3	nmod
7	izraelské	ADJ	9	amod
8	rybářské	ADJ	9	amod
9	blokády	NOUN	6	nmod
10	proti	ADP	12	case
11	jiholibanonským	ADJ	12	amod
12	přístavům	NOUN	9	nmod
13	Sajdá	PROPN	12	nmod
14	a	CCONJ	15	cc
15	Súr	PROPN	13	conj
16	severním	ADJ	17	amod
17	směrem	NOUN	6	nmod
18	až	PART	21	advmod:emph
19	k	ADP	21	case
20	přístavnímu	ADJ	21	amod
21	městu	NOUN	6	nmod
22	Damúr	PROPN	21	nmod
23	,	PUNCT	24	punct
24	ležícímu	ADJ	21	amod
25	pouhých	ADJ	27	amod
26	18	NUM	27	nummod
27	kilometrů	NOUN	24	obl
28	pod	ADP	29	case
29	Bejrútem	PROPN	27	nmod
30	.	PUNCT	1	punct