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:
Confieso que, personalmente, no le veo tanto carisma o tanto fulgor físico, pero las mujeres - y algunos hombres - le suelen encontrar altamente atractivo.
Postion	Tokenization
1	Confieso
2	que
3	,
4	personalmente
5	,
6	no
7	le
8	veo
9	tanto
10	carisma
11	o
12	tanto
13	fulgor
14	físico
15	,
16	pero
17	las
18	mujeres
19	-
20	y
21	algunos
22	hombres
23	-
24	le
25	suelen
26	encontrar
27	altamente
28	atractivo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Confieso	VERB	0	root
2	que	SCONJ	8	mark
3	,	PUNCT	4	punct
4	personalmente	ADV	8	advmod
5	,	PUNCT	4	punct
6	no	ADV	8	advmod
7	le	PRON	8	obj
8	veo	VERB	1	ccomp
9	tanto	DET	10	det
10	carisma	NOUN	8	obj
11	o	CCONJ	13	cc
12	tanto	DET	13	det
13	fulgor	NOUN	10	conj
14	físico	ADJ	13	amod
15	,	PUNCT	25	punct
16	pero	CCONJ	25	cc
17	las	DET	18	det
18	mujeres	NOUN	25	nsubj
19	-	PUNCT	22	punct
20	y	CCONJ	22	cc
21	algunos	DET	22	det
22	hombres	NOUN	18	conj
23	-	PUNCT	18	punct
24	le	PRON	26	obj
25	suelen	VERB	1	conj
26	encontrar	VERB	25	xcomp
27	altamente	ADV	28	advmod
28	atractivo	ADJ	26	iobj
29	.	PUNCT	1	punct