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:
These wolf packs have flourished, and now there are an estimated 850 wolves roaming the northern Rockies, where merely 10 years ago there were none.
Postion	Tokenization
1	These
2	wolf
3	packs
4	have
5	flourished
6	,
7	and
8	now
9	there
10	are
11	an
12	estimated
13	850
14	wolves
15	roaming
16	the
17	northern
18	Rockies
19	,
20	where
21	merely
22	10
23	years
24	ago
25	there
26	were
27	none
28	.
Position	Tokenization	UPOS	Head	Deprel
1	These	DET	3	det
2	wolf	NOUN	3	compound
3	packs	NOUN	5	nsubj
4	have	AUX	5	aux
5	flourished	VERB	0	root
6	,	PUNCT	10	punct
7	and	CCONJ	10	cc
8	now	ADV	10	advmod
9	there	PRON	10	expl
10	are	VERB	5	conj
11	an	DET	14	det
12	estimated	VERB	14	amod
13	850	NUM	14	nummod
14	wolves	NOUN	10	nsubj
15	roaming	VERB	14	acl
16	the	DET	18	det
17	northern	ADJ	18	amod
18	Rockies	PROPN	15	obj
19	,	PUNCT	18	punct
20	where	SCONJ	26	mark
21	merely	ADV	22	advmod
22	10	NUM	23	nummod
23	years	NOUN	24	obl:npmod
24	ago	ADV	26	advmod
25	there	PRON	26	expl
26	were	VERB	18	acl:relcl
27	none	NOUN	26	nsubj
28	.	PUNCT	5	punct