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 compelling argument for reintroduction was the wolf acts as a keystone predator, an animal that affects the populations, behavior and ecology of a wide variety of species within its range.
Postion	Tokenization
1	One
2	compelling
3	argument
4	for
5	reintroduction
6	was
7	the
8	wolf
9	acts
10	as
11	a
12	keystone
13	predator
14	,
15	an
16	animal
17	that
18	affects
19	the
20	populations
21	,
22	behavior
23	and
24	ecology
25	of
26	a
27	wide
28	variety
29	of
30	species
31	within
32	its
33	range
34	.
Position	Tokenization	UPOS	Head	Deprel
1	One	NUM	3	nummod
2	compelling	ADJ	3	amod
3	argument	NOUN	0	root
4	for	ADP	5	case
5	reintroduction	NOUN	3	nmod
6	was	AUX	3	cop
7	the	DET	8	det
8	wolf	NOUN	9	nsubj
9	acts	VERB	3	csubj
10	as	ADP	13	case
11	a	DET	13	det
12	keystone	NOUN	13	compound
13	predator	NOUN	9	obl
14	,	PUNCT	13	punct
15	an	DET	16	det
16	animal	NOUN	13	appos
17	that	PRON	18	nsubj
18	affects	VERB	16	acl:relcl
19	the	DET	20	det
20	populations	NOUN	18	obj
21	,	PUNCT	22	punct
22	behavior	NOUN	20	conj
23	and	CCONJ	24	cc
24	ecology	NOUN	20	conj
25	of	ADP	28	case
26	a	DET	28	det
27	wide	ADJ	28	amod
28	variety	NOUN	20	nmod
29	of	ADP	30	case
30	species	NOUN	28	nmod
31	within	ADP	33	case
32	its	PRON	33	nmod:poss
33	range	NOUN	30	nmod
34	.	PUNCT	3	punct