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:
In addition, the clothing is of much better quality than the clothing from hot topic, which is made as cheaply as possible by people living in horrible conditions in Asia.
Postion	Tokenization
1	In
2	addition
3	,
4	the
5	clothing
6	is
7	of
8	much
9	better
10	quality
11	than
12	the
13	clothing
14	from
15	hot
16	topic
17	,
18	which
19	is
20	made
21	as
22	cheaply
23	as
24	possible
25	by
26	people
27	living
28	in
29	horrible
30	conditions
31	in
32	Asia
33	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	addition	NOUN	10	obl
3	,	PUNCT	10	punct
4	the	DET	5	det
5	clothing	NOUN	10	nsubj
6	is	AUX	10	cop
7	of	ADP	10	case
8	much	ADV	9	advmod
9	better	ADJ	10	amod
10	quality	NOUN	0	root
11	than	ADP	13	case
12	the	DET	13	det
13	clothing	NOUN	8	obl
14	from	ADP	16	case
15	hot	PROPN	16	compound
16	topic	PROPN	13	nmod
17	,	PUNCT	13	punct
18	which	PRON	20	nsubj:pass
19	is	AUX	20	aux:pass
20	made	VERB	13	acl:relcl
21	as	ADV	22	advmod
22	cheaply	ADV	20	advmod
23	as	SCONJ	24	mark
24	possible	ADJ	21	advcl
25	by	ADP	26	case
26	people	NOUN	20	obl
27	living	VERB	26	acl
28	in	ADP	30	case
29	horrible	ADJ	30	amod
30	conditions	NOUN	27	obl
31	in	ADP	32	case
32	Asia	PROPN	27	obl
33	.	PUNCT	10	punct