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:
Which may explain the pattern to their stories: a journey to self-empowerment and the enlightenment of self-sacrifice inspired by the light and wisdom of Maryam and Massoud.
Postion	Tokenization
1	Which
2	may
3	explain
4	the
5	pattern
6	to
7	their
8	stories
9	:
10	a
11	journey
12	to
13	self
14	-
15	empowerment
16	and
17	the
18	enlightenment
19	of
20	self
21	-
22	sacrifice
23	inspired
24	by
25	the
26	light
27	and
28	wisdom
29	of
30	Maryam
31	and
32	Massoud
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Which	PRON	3	nsubj
2	may	AUX	3	aux
3	explain	VERB	0	root
4	the	DET	5	det
5	pattern	NOUN	3	obj
6	to	ADP	8	case
7	their	PRON	8	nmod:poss
8	stories	NOUN	5	nmod
9	:	PUNCT	5	punct
10	a	DET	11	det
11	journey	NOUN	5	appos
12	to	ADP	15	case
13	self	NOUN	15	compound
14	-	PUNCT	15	punct
15	empowerment	NOUN	11	nmod
16	and	CCONJ	18	cc
17	the	DET	18	det
18	enlightenment	NOUN	11	conj
19	of	ADP	22	case
20	self	NOUN	22	compound
21	-	PUNCT	22	punct
22	sacrifice	NOUN	18	nmod
23	inspired	VERB	11	acl
24	by	ADP	26	case
25	the	DET	26	det
26	light	NOUN	23	obl
27	and	CCONJ	28	cc
28	wisdom	NOUN	26	conj
29	of	ADP	30	case
30	Maryam	PROPN	26	nmod
31	and	CCONJ	32	cc
32	Massoud	PROPN	30	conj
33	.	PUNCT	3	punct