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:
Lo que decía Mae West de sí misma podríamos decirlo también los hombres: - Cuando somos buenos somos muy buenos, pero cuando somos malos somos mejores.
Postion	Tokenization
1	Lo
2	que
3	decía
4	Mae
5	West
6	de
7	sí
8	misma
9	podríamos
10	decirlo
11	decir
12	lo
13	también
14	los
15	hombres
16	:
17	-
18	Cuando
19	somos
20	buenos
21	somos
22	muy
23	buenos
24	,
25	pero
26	cuando
27	somos
28	malos
29	somos
30	mejores
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	3	det
2	que	PRON	3	obj
3	decía	VERB	10	ccomp
4	Mae	PROPN	3	nsubj
5	West	PROPN	4	flat
6	de	ADP	7	case
7	sí	PRON	3	obl
8	misma	DET	7	det
9	podríamos	AUX	10	aux
10	decirlo	_	None	_
11	decir	VERB	0	root
12	lo	PRON	10	obj
13	también	ADV	10	advmod
14	los	DET	14	det
15	hombres	NOUN	10	nsubj
16	:	PUNCT	22	punct
17	-	PUNCT	22	punct
18	Cuando	SCONJ	19	mark
19	somos	AUX	19	cop
20	buenos	ADJ	22	advcl
21	somos	AUX	22	cop
22	muy	ADV	22	advmod
23	buenos	ADJ	10	advcl
24	,	PUNCT	29	punct
25	pero	CCONJ	29	cc
26	cuando	SCONJ	27	mark
27	somos	AUX	27	cop
28	malos	ADJ	29	advcl
29	somos	AUX	29	cop
30	mejores	ADJ	22	conj
31	.	PUNCT	10	punct