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:
We are also a group who is looking for members for our own select guild called ULGG of GW...which is a part of the alliance with the same name.
Postion	Tokenization
1	We
2	are
3	also
4	a
5	group
6	who
7	is
8	looking
9	for
10	members
11	for
12	our
13	own
14	select
15	guild
16	called
17	ULGG
18	of
19	GW
20	...
21	which
22	is
23	a
24	part
25	of
26	the
27	alliance
28	with
29	the
30	same
31	name
32	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	5	nsubj
2	are	AUX	5	cop
3	also	ADV	5	advmod
4	a	DET	5	det
5	group	NOUN	0	root
6	who	PRON	8	nsubj
7	is	AUX	8	aux
8	looking	VERB	5	acl:relcl
9	for	ADP	10	case
10	members	NOUN	8	obl
11	for	ADP	15	case
12	our	PRON	15	nmod:poss
13	own	ADJ	15	amod
14	select	ADJ	15	amod
15	guild	NOUN	10	nmod
16	called	VERB	15	acl
17	ULGG	PROPN	16	xcomp
18	of	ADP	19	case
19	GW	PROPN	17	nmod
20	...	PUNCT	15	punct
21	which	PRON	24	nsubj
22	is	AUX	24	cop
23	a	DET	24	det
24	part	NOUN	15	acl:relcl
25	of	ADP	27	case
26	the	DET	27	det
27	alliance	NOUN	24	nmod
28	with	ADP	31	case
29	the	DET	31	det
30	same	ADJ	31	amod
31	name	NOUN	27	nmod
32	.	PUNCT	5	punct