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:
One member actually was convicted of beating his teen daughter unconcious when she ran away from 'marriage' to her father's own brother.
Postion	Tokenization
1	One
2	member
3	actually
4	was
5	convicted
6	of
7	beating
8	his
9	teen
10	daughter
11	unconcious
12	when
13	she
14	ran
15	away
16	from
17	'
18	marriage
19	'
20	to
21	her
22	father's
23	father
24	's
25	own
26	brother
27	.
Position	Tokenization	UPOS	Head	Deprel
1	One	NUM	2	nummod
2	member	NOUN	5	nsubj:pass
3	actually	ADV	5	advmod
4	was	AUX	5	aux:pass
5	convicted	VERB	0	root
6	of	SCONJ	7	mark
7	beating	VERB	5	advcl
8	his	PRON	10	nmod:poss
9	teen	NOUN	10	compound
10	daughter	NOUN	7	obj
11	unconcious	ADJ	7	xcomp
12	when	SCONJ	14	mark
13	she	PRON	14	nsubj
14	ran	VERB	7	advcl
15	away	ADV	14	advmod
16	from	ADP	18	case
17	'	PUNCT	18	punct
18	marriage	NOUN	15	obl
19	'	PUNCT	18	punct
20	to	ADP	25	case
21	her	PRON	22	nmod:poss
22	father's	_	None	_
23	father	NOUN	25	nmod:poss
24	's	PART	22	case
25	own	ADJ	25	amod
26	brother	NOUN	18	nmod
27	.	PUNCT	5	punct