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:
Rumor also had it some renegade biologist brought a caged pair to Yellowstone and released them into the wild sometime in the 1970s, hoping to reestablish a breeding population.
Postion	Tokenization
1	Rumor
2	also
3	had
4	it
5	some
6	renegade
7	biologist
8	brought
9	a
10	caged
11	pair
12	to
13	Yellowstone
14	and
15	released
16	them
17	into
18	the
19	wild
20	sometime
21	in
22	the
23	1970s
24	,
25	hoping
26	to
27	reestablish
28	a
29	breeding
30	population
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Rumor	NOUN	3	nsubj
2	also	ADV	3	advmod
3	had	VERB	0	root
4	it	PRON	3	expl
5	some	DET	7	det
6	renegade	ADJ	7	amod
7	biologist	NOUN	8	nsubj
8	brought	VERB	3	ccomp
9	a	DET	11	det
10	caged	VERB	11	amod
11	pair	NOUN	8	obj
12	to	ADP	13	case
13	Yellowstone	PROPN	8	obl
14	and	CCONJ	15	cc
15	released	VERB	8	conj
16	them	PRON	15	obj
17	into	ADP	19	case
18	the	DET	19	det
19	wild	NOUN	15	obl
20	sometime	ADV	15	advmod
21	in	ADP	23	case
22	the	DET	23	det
23	1970s	NOUN	20	obl
24	,	PUNCT	15	punct
25	hoping	VERB	15	advcl
26	to	PART	27	mark
27	reestablish	VERB	25	xcomp
28	a	DET	30	det
29	breeding	VERB	30	amod
30	population	NOUN	27	obj
31	.	PUNCT	3	punct