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:
El jefe del Estado, sin embargo, no detalló quien era el titular de dicha cuenta y se limitó a decir que "no soy Supermán, soy un humano, y reconozco que he podido equivocarme, pero no cogí ese dinero".
Postion	Tokenization
1	El
2	jefe
3	del
4	Estado
5	,
6	sin
7	embargo
8	,
9	no
10	detalló
11	quien
12	era
13	el
14	titular
15	de
16	dicha
17	cuenta
18	y
19	se
20	limitó
21	a
22	decir
23	que
24	"
25	no
26	soy
27	Supermán
28	,
29	soy
30	un
31	humano
32	,
33	y
34	reconozco
35	que
36	he
37	podido
38	equivocarme
39	equivocar
40	me
41	,
42	pero
43	no
44	cogí
45	ese
46	dinero
47	"
48	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	jefe	NOUN	10	nsubj
3	del	ADP	4	case
4	Estado	PROPN	2	nmod
5	,	PUNCT	6	punct
6	sin	ADP	10	advmod
7	embargo	NOUN	6	fixed
8	,	PUNCT	6	punct
9	no	ADV	10	advmod
10	detalló	VERB	0	root
11	quien	PRON	14	nsubj
12	era	AUX	14	cop
13	el	DET	14	det
14	titular	NOUN	10	ccomp
15	de	ADP	17	case
16	dicha	NOUN	17	nmod
17	cuenta	NOUN	14	nmod
18	y	CCONJ	20	cc
19	se	PRON	20	expl:pv
20	limitó	VERB	10	conj
21	a	ADP	22	mark
22	decir	VERB	20	ccomp
23	que	SCONJ	27	mark
24	"	PUNCT	27	punct
25	no	ADV	27	advmod
26	soy	AUX	27	cop
27	Supermán	PROPN	22	ccomp
28	,	PUNCT	31	punct
29	soy	AUX	31	cop
30	un	DET	31	det
31	humano	NOUN	27	advcl
32	,	PUNCT	31	punct
33	y	CCONJ	34	cc
34	reconozco	VERB	27	conj
35	que	SCONJ	38	mark
36	he	AUX	38	aux
37	podido	AUX	38	aux
38	equivocarme	_	None	_
39	equivocar	VERB	34	xcomp
40	me	PRON	38	expl:pv
41	,	PUNCT	43	punct
42	pero	CCONJ	43	cc
43	no	ADV	43	advmod
44	cogí	VERB	27	conj
45	ese	DET	45	det
46	dinero	NOUN	43	obj
47	"	PUNCT	27	punct
48	.	PUNCT	10	punct