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:
Ella sabrá en qué momento José Frade, su antiguo amante de juventud, se le apareció como la solución a sus problemas, pero bien cierto es que Norma tiene ahora muchos más líos de los que tenía hace un año.
Postion	Tokenization
1	Ella
2	sabrá
3	en
4	qué
5	momento
6	José
7	Frade
8	,
9	su
10	antiguo
11	amante
12	de
13	juventud
14	,
15	se
16	le
17	apareció
18	como
19	la
20	solución
21	a
22	sus
23	problemas
24	,
25	pero
26	bien
27	cierto
28	es
29	que
30	Norma
31	tiene
32	ahora
33	muchos
34	más
35	líos
36	de
37	los
38	que
39	tenía
40	hace
41	un
42	año
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Ella	PRON	2	nsubj
2	sabrá	VERB	0	root
3	en	ADP	5	case
4	qué	DET	5	det
5	momento	NOUN	17	obl
6	José	PROPN	17	nsubj
7	Frade	PROPN	6	flat
8	,	PUNCT	11	punct
9	su	DET	11	det
10	antiguo	ADJ	11	amod
11	amante	NOUN	6	appos
12	de	ADP	13	case
13	juventud	NOUN	11	nmod
14	,	PUNCT	11	punct
15	se	PRON	17	expl:impers
16	le	PRON	17	obj
17	apareció	VERB	2	ccomp
18	como	SCONJ	20	mark
19	la	DET	20	det
20	solución	NOUN	17	obl
21	a	ADP	23	case
22	sus	DET	23	det
23	problemas	NOUN	20	nmod
24	,	PUNCT	27	punct
25	pero	CCONJ	27	cc
26	bien	ADV	27	advmod
27	cierto	ADJ	2	conj
28	es	AUX	27	cop
29	que	SCONJ	31	mark
30	Norma	PROPN	31	nsubj
31	tiene	VERB	27	csubj
32	ahora	ADV	31	advmod
33	muchos	PRON	35	nmod
34	más	ADV	33	advmod
35	líos	NOUN	31	obj
36	de	ADP	39	mark
37	los	DET	39	det
38	que	PRON	39	obj
39	tenía	VERB	35	acl
40	hace	VERB	39	advcl
41	un	DET	42	det
42	año	NOUN	40	obj
43	.	PUNCT	2	punct