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:
Ever since he ate up Red Riding Hood's grandma and blew down the houses of two-thirds of the Three Little Pigs, the Big Bad Wolf has held a persistently bad reputation.
Postion	Tokenization
1	Ever
2	since
3	he
4	ate
5	up
6	Red
7	Riding
8	Hood's
9	Hood
10	's
11	grandma
12	and
13	blew
14	down
15	the
16	houses
17	of
18	two
19	-
20	thirds
21	of
22	the
23	Three
24	Little
25	Pigs
26	,
27	the
28	Big
29	Bad
30	Wolf
31	has
32	held
33	a
34	persistently
35	bad
36	reputation
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Ever	ADV	4	advmod
2	since	SCONJ	4	mark
3	he	PRON	4	nsubj
4	ate	VERB	31	advcl
5	up	ADP	4	compound:prt
6	Red	PROPN	8	compound
7	Riding	PROPN	8	compound
8	Hood's	_	None	_
9	Hood	PROPN	10	nmod:poss
10	's	PART	8	case
11	grandma	NOUN	4	obj
12	and	CCONJ	12	cc
13	blew	VERB	4	conj
14	down	ADP	12	compound:prt
15	the	DET	15	det
16	houses	NOUN	12	obj
17	of	ADP	19	case
18	two	NUM	19	nummod
19	-	PUNCT	19	punct
20	thirds	NOUN	15	nmod
21	of	ADP	24	case
22	the	DET	24	det
23	Three	PROPN	24	compound
24	Little	PROPN	24	compound
25	Pigs	PROPN	19	nmod
26	,	PUNCT	31	punct
27	the	DET	29	det
28	Big	PROPN	29	compound
29	Bad	PROPN	29	compound
30	Wolf	PROPN	31	nsubj
31	has	AUX	31	aux
32	held	VERB	0	root
33	a	DET	35	det
34	persistently	ADV	34	advmod
35	bad	ADJ	35	amod
36	reputation	NOUN	31	obj
37	.	PUNCT	31	punct