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:
Worse comes to worse, I'm out of the $$ and have to put him down anyway or have a pretty pasture ornament.
Postion	Tokenization
1	Worse
2	comes
3	to
4	worse
5	,
6	I'm
7	I
8	'm
9	out
10	of
11	the
12	$
13	$
14	and
15	have
16	to
17	put
18	him
19	down
20	anyway
21	or
22	have
23	a
24	pretty
25	pasture
26	ornament
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Worse	ADJ	2	nsubj
2	comes	VERB	11	advcl
3	to	ADP	4	case
4	worse	ADJ	2	obl
5	,	PUNCT	11	punct
6	I'm	_	None	_
7	I	PRON	11	nsubj
8	'm	AUX	11	cop
9	out	ADP	11	case
10	of	ADP	11	case
11	the	DET	11	det
12	$	SYM	0	root
13	$	SYM	11	goeswith
14	and	CCONJ	14	cc
15	have	VERB	11	conj
16	to	PART	16	mark
17	put	VERB	14	xcomp
18	him	PRON	16	obj
19	down	ADP	16	compound:prt
20	anyway	ADV	16	advmod
21	or	CCONJ	21	cc
22	have	VERB	14	conj
23	a	DET	25	det
24	pretty	ADJ	25	amod
25	pasture	NOUN	25	compound
26	ornament	NOUN	21	obj
27	.	PUNCT	11	punct