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:
Also these cults have multimillions yet the women and kids live in poverty so the leaders can live the high life.
Postion	Tokenization
1	Also
2	these
3	cults
4	have
5	multimillions
6	yet
7	the
8	women
9	and
10	kids
11	live
12	in
13	poverty
14	so
15	the
16	leaders
17	can
18	live
19	the
20	high
21	life
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Also	ADV	4	advmod
2	these	DET	3	det
3	cults	NOUN	4	nsubj
4	have	VERB	0	root
5	multimillions	NOUN	4	obj
6	yet	CCONJ	11	cc
7	the	DET	8	det
8	women	NOUN	11	nsubj
9	and	CCONJ	10	cc
10	kids	NOUN	8	conj
11	live	VERB	4	conj
12	in	ADP	13	case
13	poverty	NOUN	11	obl
14	so	SCONJ	18	mark
15	the	DET	16	det
16	leaders	NOUN	18	nsubj
17	can	AUX	18	aux
18	live	VERB	11	advcl
19	the	DET	21	det
20	high	ADJ	21	amod
21	life	NOUN	18	obj
22	.	PUNCT	4	punct