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:
Eventually, a trickle of support appeared for bringing the predator back to its former home range in the northern Rocky Mountains.
Postion	Tokenization
1	Eventually
2	,
3	a
4	trickle
5	of
6	support
7	appeared
8	for
9	bringing
10	the
11	predator
12	back
13	to
14	its
15	former
16	home
17	range
18	in
19	the
20	northern
21	Rocky
22	Mountains
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Eventually	ADV	7	advmod
2	,	PUNCT	7	punct
3	a	DET	4	det
4	trickle	NOUN	7	nsubj
5	of	ADP	6	case
6	support	NOUN	4	nmod
7	appeared	VERB	0	root
8	for	SCONJ	9	mark
9	bringing	VERB	7	advcl
10	the	DET	11	det
11	predator	NOUN	9	obj
12	back	ADV	9	advmod
13	to	ADP	17	case
14	its	PRON	17	nmod:poss
15	former	ADJ	17	amod
16	home	NOUN	17	compound
17	range	NOUN	12	obl
18	in	ADP	22	case
19	the	DET	22	det
20	northern	ADJ	22	amod
21	Rocky	PROPN	22	compound
22	Mountains	PROPN	17	nmod
23	.	PUNCT	7	punct