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:
"De Niro no defraudó a nadie... quizá porque apenas dijo nada", observaba en El Mundo Borja Hermoso, quien resumía el sentir de una prensa que dedicó a De Niro adjetivos como "- lacónico", "aburrido", "hermético" y "parco en palabras" y subrayó su "característica cara de pocos amigos", su "gélido entusiasmo" y su "visible desgana".
Postion	Tokenization
1	"
2	De
3	Niro
4	no
5	defraudó
6	a
7	nadie
8	...
9	quizá
10	porque
11	apenas
12	dijo
13	nada
14	"
15	,
16	observaba
17	en
18	El
19	Mundo
20	Borja
21	Hermoso
22	,
23	quien
24	resumía
25	el
26	sentir
27	de
28	una
29	prensa
30	que
31	dedicó
32	a
33	De
34	Niro
35	adjetivos
36	como
37	"
38	-
39	lacónico
40	"
41	,
42	"
43	aburrido
44	"
45	,
46	"
47	hermético
48	"
49	y
50	"
51	parco
52	en
53	palabras
54	"
55	y
56	subrayó
57	su
58	"
59	característica
60	cara
61	de
62	pocos
63	amigos
64	"
65	,
66	su
67	"
68	gélido
69	entusiasmo
70	"
71	y
72	su
73	"
74	visible
75	desgana
76	"
77	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	De	ADP	3	case
3	Niro	PROPN	5	nsubj
4	no	ADV	5	advmod
5	defraudó	VERB	16	ccomp
6	a	ADP	7	case
7	nadie	PRON	5	obj
8	...	PUNCT	5	punct
9	quizá	ADV	12	advmod
10	porque	SCONJ	12	mark
11	apenas	ADV	12	advmod
12	dijo	VERB	5	advcl
13	nada	PRON	12	obj
14	"	PUNCT	5	punct
15	,	PUNCT	5	punct
16	observaba	VERB	0	root
17	en	ADP	19	case
18	El	DET	19	det
19	Mundo	PROPN	16	obl
20	Borja	PROPN	16	nsubj
21	Hermoso	PROPN	20	flat
22	,	PUNCT	24	punct
23	quien	PRON	24	nsubj
24	resumía	VERB	20	acl
25	el	DET	26	det
26	sentir	NOUN	24	obj
27	de	ADP	29	case
28	una	DET	29	det
29	prensa	NOUN	26	nmod
30	que	PRON	31	nsubj
31	dedicó	VERB	29	acl
32	a	ADP	34	case
33	De	ADP	34	case
34	Niro	PROPN	31	obj
35	adjetivos	NOUN	31	obj
36	como	SCONJ	35	nmod
37	"	PUNCT	39	punct
38	-	PUNCT	39	punct
39	lacónico	ADJ	36	amod
40	"	PUNCT	39	punct
41	,	PUNCT	43	punct
42	"	PUNCT	43	punct
43	aburrido	ADJ	39	advmod
44	"	PUNCT	43	punct
45	,	PUNCT	47	punct
46	"	PUNCT	47	punct
47	hermético	ADJ	39	amod
48	"	PUNCT	47	punct
49	y	CCONJ	51	cc
50	"	PUNCT	51	punct
51	parco	ADJ	39	conj
52	en	ADP	53	case
53	palabras	NOUN	51	nmod
54	"	PUNCT	51	punct
55	y	CCONJ	56	cc
56	subrayó	VERB	16	conj
57	su	DET	60	det
58	"	PUNCT	60	punct
59	característica	ADJ	60	amod
60	cara	NOUN	56	obj
61	de	ADP	63	case
62	pocos	DET	63	det
63	amigos	NOUN	60	nmod
64	"	PUNCT	60	punct
65	,	PUNCT	69	punct
66	su	DET	69	det
67	"	PUNCT	69	punct
68	gélido	ADJ	69	amod
69	entusiasmo	NOUN	60	appos
70	"	PUNCT	69	punct
71	y	CCONJ	75	cc
72	su	DET	75	det
73	"	PUNCT	75	punct
74	visible	ADJ	75	amod
75	desgana	NOUN	60	conj
76	"	PUNCT	75	punct
77	.	PUNCT	16	punct