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:
"Creo que ha sido un resultado muy nítido, que probablemente refleje el buen nivel en que se encuentra la economía española, entre otros elementos", precisó Ricardo Lagos en un breve comentario, en el que no hizo alusión a los problemas que surgieron entre ambos países a raíz del caso del general retirado Augusto Pinochet.
Postion	Tokenization
1	"
2	Creo
3	que
4	ha
5	sido
6	un
7	resultado
8	muy
9	nítido
10	,
11	que
12	probablemente
13	refleje
14	el
15	buen
16	nivel
17	en
18	que
19	se
20	encuentra
21	la
22	economía
23	española
24	,
25	entre
26	otros
27	elementos
28	"
29	,
30	precisó
31	Ricardo
32	Lagos
33	en
34	un
35	breve
36	comentario
37	,
38	en
39	el
40	que
41	no
42	hizo
43	alusión
44	a
45	los
46	problemas
47	que
48	surgieron
49	entre
50	ambos
51	países
52	a
53	raíz
54	del
55	caso
56	del
57	general
58	retirado
59	Augusto
60	Pinochet
61	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Creo	VERB	30	ccomp
3	que	SCONJ	7	mark
4	ha	AUX	7	aux
5	sido	AUX	7	cop
6	un	DET	7	det
7	resultado	NOUN	2	ccomp
8	muy	ADV	9	advmod
9	nítido	ADJ	7	amod
10	,	PUNCT	13	punct
11	que	PRON	13	nsubj
12	probablemente	ADV	13	advmod
13	refleje	VERB	7	acl
14	el	DET	16	det
15	buen	ADJ	16	amod
16	nivel	NOUN	13	obj
17	en	ADP	18	case
18	que	PRON	20	obj
19	se	PRON	20	expl:pv
20	encuentra	VERB	16	acl
21	la	DET	22	det
22	economía	NOUN	20	nsubj
23	española	ADJ	22	amod
24	,	PUNCT	27	punct
25	entre	ADP	27	case
26	otros	DET	27	det
27	elementos	NOUN	22	nmod
28	"	PUNCT	2	punct
29	,	PUNCT	2	punct
30	precisó	VERB	0	root
31	Ricardo	PROPN	30	nsubj
32	Lagos	PROPN	31	flat
33	en	ADP	36	case
34	un	DET	36	det
35	breve	ADJ	36	amod
36	comentario	NOUN	30	obl
37	,	PUNCT	42	punct
38	en	ADP	40	case
39	el	DET	40	det
40	que	PRON	42	obl
41	no	ADV	42	advmod
42	hizo	VERB	36	acl
43	alusión	NOUN	42	obj
44	a	ADP	46	case
45	los	DET	46	det
46	problemas	NOUN	43	nmod
47	que	PRON	48	nsubj
48	surgieron	VERB	46	acl
49	entre	ADP	51	case
50	ambos	NUM	51	nummod
51	países	NOUN	48	obl
52	a	ADP	55	case
53	raíz	NOUN	52	fixed
54	del	ADP	52	fixed
55	caso	NOUN	48	obl
56	del	ADP	57	case
57	general	NOUN	55	nmod
58	retirado	ADJ	57	amod
59	Augusto	PROPN	57	appos
60	Pinochet	PROPN	59	flat
61	.	PUNCT	30	punct