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:
You hate to see talent get wasted, but honestly I don't think I could take in a horse right now these issues.
Postion	Tokenization
1	You
2	hate
3	to
4	see
5	talent
6	get
7	wasted
8	,
9	but
10	honestly
11	I
12	don't
13	do
14	n't
15	think
16	I
17	could
18	take
19	in
20	a
21	horse
22	right
23	now
24	these
25	issues
26	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	2	nsubj
2	hate	VERB	0	root
3	to	PART	4	mark
4	see	VERB	2	xcomp
5	talent	NOUN	4	obj
6	get	AUX	7	aux:pass
7	wasted	VERB	4	xcomp
8	,	PUNCT	14	punct
9	but	CCONJ	14	cc
10	honestly	ADV	14	advmod
11	I	PRON	14	nsubj
12	don't	_	None	_
13	do	AUX	14	aux
14	n't	PART	14	advmod
15	think	VERB	2	conj
16	I	PRON	17	nsubj
17	could	AUX	17	aux
18	take	VERB	14	ccomp
19	in	ADP	17	compound:prt
20	a	DET	20	det
21	horse	NOUN	17	obj
22	right	ADV	22	advmod
23	now	ADV	17	advmod
24	these	DET	24	det
25	issues	NOUN	17	obl:npmod
26	.	PUNCT	2	punct