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:
I think he left the Nail out of the shoe as a excuse to come back and see you hey he may be your Prince charming..
Postion	Tokenization
1	I
2	think
3	he
4	left
5	the
6	Nail
7	out
8	of
9	the
10	shoe
11	as
12	a
13	excuse
14	to
15	come
16	back
17	and
18	see
19	you
20	hey
21	he
22	may
23	be
24	your
25	Prince
26	charming
27	..
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	think	VERB	0	root
3	he	PRON	4	nsubj
4	left	VERB	2	ccomp
5	the	DET	6	det
6	Nail	NOUN	4	obj
7	out	ADP	10	case
8	of	ADP	10	case
9	the	DET	10	det
10	shoe	NOUN	4	obl
11	as	ADP	13	case
12	a	DET	13	det
13	excuse	NOUN	4	obl
14	to	PART	15	mark
15	come	VERB	13	acl
16	back	ADV	15	advmod
17	and	CCONJ	18	cc
18	see	VERB	15	conj
19	you	PRON	18	obj
20	hey	INTJ	2	discourse
21	he	PRON	26	nsubj
22	may	AUX	26	aux
23	be	AUX	26	cop
24	your	PRON	26	nmod:poss
25	Prince	PROPN	26	compound
26	charming	PROPN	2	parataxis
27	..	PUNCT	2	punct