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:
When he swivels his head to go for it anyway, tell him sharp "UH UH" gently correct him with a small tug and continue your walk.
Postion	Tokenization
1	When
2	he
3	swivels
4	his
5	head
6	to
7	go
8	for
9	it
10	anyway
11	,
12	tell
13	him
14	sharp
15	"
16	UH
17	UH
18	"
19	gently
20	correct
21	him
22	with
23	a
24	small
25	tug
26	and
27	continue
28	your
29	walk
30	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	3	mark
2	he	PRON	3	nsubj
3	swivels	VERB	12	advcl
4	his	PRON	5	nmod:poss
5	head	NOUN	3	obj
6	to	PART	7	mark
7	go	VERB	3	advcl
8	for	ADP	9	case
9	it	PRON	7	obl
10	anyway	ADV	7	advmod
11	,	PUNCT	12	punct
12	tell	VERB	0	root
13	him	PRON	12	obj
14	sharp	ADV	12	advmod
15	"	PUNCT	16	punct
16	UH	INTJ	12	ccomp
17	UH	INTJ	16	discourse
18	"	PUNCT	16	punct
19	gently	ADV	20	advmod
20	correct	VERB	12	conj
21	him	PRON	20	obj
22	with	ADP	25	case
23	a	DET	25	det
24	small	ADJ	25	amod
25	tug	NOUN	20	obl
26	and	CCONJ	27	cc
27	continue	VERB	12	conj
28	your	PRON	29	nmod:poss
29	walk	NOUN	27	obj
30	.	PUNCT	12	punct