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:
It is interesting to notice that he was shot seven times, being seven, as well as three, the holy numbers in Holy Cabalah tradition....
Postion	Tokenization
1	It
2	is
3	interesting
4	to
5	notice
6	that
7	he
8	was
9	shot
10	seven
11	times
12	,
13	being
14	seven
15	,
16	as
17	well
18	as
19	three
20	,
21	the
22	holy
23	numbers
24	in
25	Holy
26	Cabalah
27	tradition
28	....
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	3	expl
2	is	AUX	3	cop
3	interesting	ADJ	0	root
4	to	PART	5	mark
5	notice	VERB	3	csubj
6	that	SCONJ	9	mark
7	he	PRON	9	nsubj:pass
8	was	AUX	9	aux:pass
9	shot	VERB	5	ccomp
10	seven	NUM	11	nummod
11	times	NOUN	9	obl:npmod
12	,	PUNCT	9	punct
13	being	AUX	23	cop
14	seven	NUM	23	nsubj
15	,	PUNCT	19	punct
16	as	ADV	19	cc
17	well	ADV	16	fixed
18	as	ADP	16	fixed
19	three	NUM	14	conj
20	,	PUNCT	14	punct
21	the	DET	23	det
22	holy	ADJ	23	amod
23	numbers	NOUN	9	parataxis
24	in	ADP	27	case
25	Holy	ADJ	26	amod
26	Cabalah	NOUN	27	compound
27	tradition	NOUN	23	nmod
28	....	PUNCT	3	punct