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:
Perhaps something got lost in the translation, but the phrase "Chemical Wire Group" has appeared in all the english Pakistan and India papers.
Postion	Tokenization
1	Perhaps
2	something
3	got
4	lost
5	in
6	the
7	translation
8	,
9	but
10	the
11	phrase
12	"
13	Chemical
14	Wire
15	Group
16	"
17	has
18	appeared
19	in
20	all
21	the
22	english
23	Pakistan
24	and
25	India
26	papers
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Perhaps	ADV	3	advmod
2	something	PRON	3	nsubj
3	got	VERB	0	root
4	lost	ADJ	3	xcomp
5	in	ADP	7	case
6	the	DET	7	det
7	translation	NOUN	4	obl
8	,	PUNCT	18	punct
9	but	CCONJ	18	cc
10	the	DET	11	det
11	phrase	NOUN	18	nsubj
12	"	PUNCT	15	punct
13	Chemical	PROPN	14	compound
14	Wire	PROPN	15	compound
15	Group	PROPN	11	appos
16	"	PUNCT	15	punct
17	has	AUX	18	aux
18	appeared	VERB	4	conj
19	in	ADP	26	case
20	all	DET	26	det:predet
21	the	DET	26	det
22	english	PROPN	26	amod
23	Pakistan	PROPN	26	compound
24	and	CCONJ	25	cc
25	India	PROPN	23	conj
26	papers	NOUN	18	obl
27	.	PUNCT	4	punct