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:
"Pero después, aquel señor anciano, con modales de un viejo padre, me conquistó, como hizo con muchas personas", ha explicado.
Postion	Tokenization
1	"
2	Pero
3	después
4	,
5	aquel
6	señor
7	anciano
8	,
9	con
10	modales
11	de
12	un
13	viejo
14	padre
15	,
16	me
17	conquistó
18	,
19	como
20	hizo
21	con
22	muchas
23	personas
24	"
25	,
26	ha
27	explicado
28	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	17	punct
2	Pero	CCONJ	17	advmod
3	después	ADV	17	advmod
4	,	PUNCT	6	punct
5	aquel	DET	6	det
6	señor	NOUN	17	nsubj
7	anciano	ADJ	6	amod
8	,	PUNCT	10	punct
9	con	ADP	10	case
10	modales	NOUN	6	nmod
11	de	ADP	14	case
12	un	DET	14	det
13	viejo	ADJ	14	amod
14	padre	NOUN	10	nmod
15	,	PUNCT	6	punct
16	me	PRON	17	obj
17	conquistó	VERB	27	ccomp
18	,	PUNCT	20	punct
19	como	SCONJ	20	mark
20	hizo	VERB	17	advcl
21	con	ADP	23	case
22	muchas	DET	23	det
23	personas	NOUN	20	obl
24	"	PUNCT	17	punct
25	,	PUNCT	17	punct
26	ha	AUX	27	aux
27	explicado	VERB	0	root
28	.	PUNCT	27	punct