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:
(He already had the traumas that his previous girlfriend Jane Asher had caused him when she made him aware of his little manliness and effeminate manners).
Postion	Tokenization
1	(
2	He
3	already
4	had
5	the
6	traumas
7	that
8	his
9	previous
10	girlfriend
11	Jane
12	Asher
13	had
14	caused
15	him
16	when
17	she
18	made
19	him
20	aware
21	of
22	his
23	little
24	manliness
25	and
26	effeminate
27	manners
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	4	punct
2	He	PRON	4	nsubj
3	already	ADV	4	advmod
4	had	VERB	0	root
5	the	DET	6	det
6	traumas	NOUN	4	obj
7	that	PRON	14	obj
8	his	PRON	10	nmod:poss
9	previous	ADJ	10	amod
10	girlfriend	NOUN	14	nsubj
11	Jane	PROPN	10	appos
12	Asher	PROPN	11	flat
13	had	AUX	14	aux
14	caused	VERB	6	acl:relcl
15	him	PRON	14	obj
16	when	SCONJ	18	mark
17	she	PRON	18	nsubj
18	made	VERB	14	advcl
19	him	PRON	18	obj
20	aware	ADJ	18	xcomp
21	of	ADP	24	case
22	his	PRON	24	nmod:poss
23	little	ADJ	24	amod
24	manliness	NOUN	20	obl
25	and	CCONJ	27	cc
26	effeminate	ADJ	27	amod
27	manners	NOUN	24	conj
28	)	PUNCT	4	punct
29	.	PUNCT	4	punct