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:
It also is likely people have released some of these animals into the wild hoping they would survive -- for instance, a ranger in Glacier Park caught someone in this very act not long ago.
Postion	Tokenization
1	It
2	also
3	is
4	likely
5	people
6	have
7	released
8	some
9	of
10	these
11	animals
12	into
13	the
14	wild
15	hoping
16	they
17	would
18	survive
19	--
20	for
21	instance
22	,
23	a
24	ranger
25	in
26	Glacier
27	Park
28	caught
29	someone
30	in
31	this
32	very
33	act
34	not
35	long
36	ago
37	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	4	nsubj
2	also	ADV	4	advmod
3	is	AUX	4	cop
4	likely	ADJ	0	root
5	people	NOUN	7	nsubj
6	have	AUX	7	aux
7	released	VERB	4	ccomp
8	some	DET	7	obj
9	of	ADP	11	case
10	these	DET	11	det
11	animals	NOUN	8	nmod
12	into	ADP	14	case
13	the	DET	14	det
14	wild	NOUN	7	obl
15	hoping	VERB	7	advcl
16	they	PRON	18	nsubj
17	would	AUX	18	aux
18	survive	VERB	15	ccomp
19	--	PUNCT	4	punct
20	for	ADP	21	case
21	instance	NOUN	28	obl
22	,	PUNCT	28	punct
23	a	DET	24	det
24	ranger	NOUN	28	nsubj
25	in	ADP	27	case
26	Glacier	PROPN	27	compound
27	Park	PROPN	24	nmod
28	caught	VERB	4	ccomp
29	someone	PRON	28	obj
30	in	ADP	33	case
31	this	DET	33	det
32	very	ADJ	33	amod
33	act	NOUN	28	obl
34	not	PART	35	advmod
35	long	ADV	28	advmod
36	ago	ADV	35	advmod
37	.	PUNCT	4	punct