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:
This trickle grew into a flood, resulting in 14 wolves being reintroduced in Yellowstone in 1995 by the U.S. Fish and Wildlife Service -- albeit over the strong and still-continuing objections of ranchers.
Postion	Tokenization
1	This
2	trickle
3	grew
4	into
5	a
6	flood
7	,
8	resulting
9	in
10	14
11	wolves
12	being
13	reintroduced
14	in
15	Yellowstone
16	in
17	1995
18	by
19	the
20	U.S.
21	Fish
22	and
23	Wildlife
24	Service
25	--
26	albeit
27	over
28	the
29	strong
30	and
31	still
32	-
33	continuing
34	objections
35	of
36	ranchers
37	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	2	det
2	trickle	NOUN	3	nsubj
3	grew	VERB	0	root
4	into	ADP	6	case
5	a	DET	6	det
6	flood	NOUN	3	obl
7	,	PUNCT	3	punct
8	resulting	VERB	3	advcl
9	in	SCONJ	13	mark
10	14	NUM	11	nummod
11	wolves	NOUN	13	nsubj:pass
12	being	AUX	13	aux:pass
13	reintroduced	VERB	8	advcl
14	in	ADP	15	case
15	Yellowstone	PROPN	13	obl
16	in	ADP	17	case
17	1995	NUM	13	obl
18	by	ADP	24	case
19	the	DET	24	det
20	U.S.	PROPN	24	compound
21	Fish	PROPN	24	compound
22	and	CCONJ	23	cc
23	Wildlife	PROPN	21	conj
24	Service	PROPN	13	obl
25	--	PUNCT	13	punct
26	albeit	SCONJ	34	advmod
27	over	ADP	34	case
28	the	DET	34	det
29	strong	ADJ	34	amod
30	and	CCONJ	33	cc
31	still	ADV	33	advmod
32	-	PUNCT	33	punct
33	continuing	VERB	29	conj
34	objections	NOUN	13	advcl
35	of	ADP	36	case
36	ranchers	NOUN	34	nmod
37	.	PUNCT	3	punct