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:
They also have the best tea I ever had, not at all like the junk you get at the grocery stores, I stock up when ever there because they are closed in the winter.
Postion	Tokenization
1	They
2	also
3	have
4	the
5	best
6	tea
7	I
8	ever
9	had
10	,
11	not
12	at
13	all
14	like
15	the
16	junk
17	you
18	get
19	at
20	the
21	grocery
22	stores
23	,
24	I
25	stock
26	up
27	when
28	ever
29	there
30	because
31	they
32	are
33	closed
34	in
35	the
36	winter
37	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	3	nsubj
2	also	ADV	3	advmod
3	have	VERB	0	root
4	the	DET	6	det
5	best	ADJ	6	amod
6	tea	NOUN	3	obj
7	I	PRON	9	nsubj
8	ever	ADV	9	advmod
9	had	VERB	6	acl:relcl
10	,	PUNCT	3	punct
11	not	PART	13	advmod
12	at	ADV	13	case
13	all	ADV	16	nmod
14	like	ADP	16	case
15	the	DET	16	det
16	junk	NOUN	3	obl
17	you	PRON	18	nsubj
18	get	VERB	16	acl:relcl
19	at	ADP	22	case
20	the	DET	22	det
21	grocery	NOUN	22	compound
22	stores	NOUN	18	obl
23	,	PUNCT	3	punct
24	I	PRON	25	nsubj
25	stock	VERB	3	ccomp
26	up	ADP	25	compound:prt
27	when	SCONJ	29	mark
28	ever	ADV	27	goeswith
29	there	ADV	25	advcl
30	because	SCONJ	33	mark
31	they	PRON	33	nsubj
32	are	AUX	33	cop
33	closed	ADJ	25	advcl
34	in	ADP	36	case
35	the	DET	36	det
36	winter	NOUN	33	obl
37	.	PUNCT	3	punct