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 convince lots of people that they are a great store, when in fact they are a very average place at best, they are just another big box store like the others.
Postion	Tokenization
1	They
2	convince
3	lots
4	of
5	people
6	that
7	they
8	are
9	a
10	great
11	store
12	,
13	when
14	in
15	fact
16	they
17	are
18	a
19	very
20	average
21	place
22	at
23	best
24	,
25	they
26	are
27	just
28	another
29	big
30	box
31	store
32	like
33	the
34	others
35	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	convince	VERB	0	root
3	lots	NOUN	2	obj
4	of	ADP	5	case
5	people	NOUN	3	nmod
6	that	SCONJ	11	mark
7	they	PRON	11	nsubj
8	are	AUX	11	cop
9	a	DET	11	det
10	great	ADJ	11	amod
11	store	NOUN	2	ccomp
12	,	PUNCT	2	punct
13	when	SCONJ	21	mark
14	in	ADP	15	case
15	fact	NOUN	21	obl
16	they	PRON	21	nsubj
17	are	AUX	21	cop
18	a	DET	21	det
19	very	ADV	20	advmod
20	average	ADJ	21	amod
21	place	NOUN	2	advcl
22	at	ADV	23	case
23	best	ADV	21	obl
24	,	PUNCT	2	punct
25	they	PRON	31	nsubj
26	are	AUX	31	cop
27	just	ADV	31	advmod
28	another	DET	31	det
29	big	ADJ	30	amod
30	box	NOUN	31	compound
31	store	NOUN	2	parataxis
32	like	ADP	34	case
33	the	DET	34	det
34	others	NOUN	31	nmod
35	.	PUNCT	2	punct