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:
Paul admitted that he made Linda suffer a lot, but he didn't say that it was because he felt insecure as a man due to his womanish face and effeminate manners and also because with his age his sexual power was not the same, even though it has never been much.
Postion	Tokenization
1	Paul
2	admitted
3	that
4	he
5	made
6	Linda
7	suffer
8	a
9	lot
10	,
11	but
12	he
13	didn't
14	did
15	n't
16	say
17	that
18	it
19	was
20	because
21	he
22	felt
23	insecure
24	as
25	a
26	man
27	due
28	to
29	his
30	womanish
31	face
32	and
33	effeminate
34	manners
35	and
36	also
37	because
38	with
39	his
40	age
41	his
42	sexual
43	power
44	was
45	not
46	the
47	same
48	,
49	even
50	though
51	it
52	has
53	never
54	been
55	much
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Paul	PROPN	2	nsubj
2	admitted	VERB	0	root
3	that	SCONJ	5	mark
4	he	PRON	5	nsubj
5	made	VERB	2	ccomp
6	Linda	PROPN	5	obj
7	suffer	VERB	5	xcomp
8	a	DET	9	det
9	lot	NOUN	7	obl:npmod
10	,	PUNCT	15	punct
11	but	CCONJ	15	cc
12	he	PRON	15	nsubj
13	didn't	_	None	_
14	did	AUX	15	aux
15	n't	PART	15	advmod
16	say	VERB	2	conj
17	that	SCONJ	18	mark
18	it	PRON	18	nsubj
19	was	VERB	15	ccomp
20	because	SCONJ	21	mark
21	he	PRON	21	nsubj
22	felt	VERB	18	advcl
23	insecure	ADJ	21	xcomp
24	as	ADP	25	case
25	a	DET	25	det
26	man	NOUN	21	obl
27	due	ADP	30	case
28	to	ADP	26	fixed
29	his	PRON	30	nmod:poss
30	womanish	ADJ	30	amod
31	face	NOUN	21	obl
32	and	CCONJ	33	cc
33	effeminate	ADJ	33	amod
34	manners	NOUN	30	conj
35	and	CCONJ	35	cc
36	also	ADV	46	cc
37	because	SCONJ	46	mark
38	with	ADP	39	case
39	his	PRON	39	nmod:poss
40	age	NOUN	46	obl
41	his	PRON	42	nmod:poss
42	sexual	ADJ	42	amod
43	power	NOUN	46	nsubj
44	was	AUX	46	cop
45	not	PART	46	advmod
46	the	DET	46	det
47	same	ADJ	21	conj
48	,	PUNCT	46	punct
49	even	ADV	54	advmod
50	though	SCONJ	54	mark
51	it	PRON	54	nsubj
52	has	AUX	54	aux
53	never	ADV	54	advmod
54	been	AUX	54	cop
55	much	ADJ	46	ccomp
56	.	PUNCT	2	punct