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:
Lástima que su intervención fuera en El tercer grado de Carlos Dávila, uno de los más aguerridos representantes del periodismo popular que, fiel a sus principios, dirigió la entrevista a sus trincheras habituales: aseguró que a Hierro "le repatea el poeta social" y que ama a España (a lo que éste replicó rápido: "Soy patriota, pero no patriotero").
Postion	Tokenization
1	Lástima
2	que
3	su
4	intervención
5	fuera
6	en
7	El
8	tercer
9	grado
10	de
11	Carlos
12	Dávila
13	,
14	uno
15	de
16	los
17	más
18	aguerridos
19	representantes
20	del
21	periodismo
22	popular
23	que
24	,
25	fiel
26	a
27	sus
28	principios
29	,
30	dirigió
31	la
32	entrevista
33	a
34	sus
35	trincheras
36	habituales
37	:
38	aseguró
39	que
40	a
41	Hierro
42	"
43	le
44	repatea
45	el
46	poeta
47	social
48	"
49	y
50	que
51	ama
52	a
53	España
54	(
55	a
56	lo
57	que
58	éste
59	replicó
60	rápido
61	:
62	"
63	Soy
64	patriota
65	,
66	pero
67	no
68	patriotero
69	"
70	)
71	.
Position	Tokenization	UPOS	Head	Deprel
1	Lástima	NOUN	5	obj
2	que	SCONJ	5	mark
3	su	DET	4	det
4	intervención	NOUN	5	nsubj
5	fuera	AUX	0	root
6	en	ADP	9	case
7	El	DET	9	det
8	tercer	ADJ	9	amod
9	grado	NOUN	5	obl
10	de	ADP	11	case
11	Carlos	PROPN	9	nmod
12	Dávila	PROPN	11	flat
13	,	PUNCT	14	punct
14	uno	PRON	11	appos
15	de	ADP	19	case
16	los	DET	19	det
17	más	ADV	19	advmod
18	aguerridos	ADJ	19	amod
19	representantes	NOUN	14	nmod
20	del	ADP	21	case
21	periodismo	NOUN	19	nmod
22	popular	ADJ	21	amod
23	que	PRON	30	nsubj
24	,	PUNCT	25	punct
25	fiel	ADJ	30	obj
26	a	ADP	28	case
27	sus	DET	28	det
28	principios	NOUN	25	nmod
29	,	PUNCT	25	punct
30	dirigió	VERB	14	acl
31	la	DET	32	det
32	entrevista	NOUN	30	obj
33	a	ADP	35	case
34	sus	DET	35	det
35	trincheras	NOUN	30	obj
36	habituales	ADJ	35	amod
37	:	PUNCT	38	punct
38	aseguró	VERB	30	advcl
39	que	SCONJ	44	mark
40	a	ADP	41	case
41	Hierro	PROPN	44	obj
42	"	PUNCT	44	punct
43	le	PRON	44	obj
44	repatea	VERB	38	ccomp
45	el	DET	46	det
46	poeta	NOUN	44	nsubj
47	social	ADJ	46	amod
48	"	PUNCT	51	punct
49	y	CCONJ	51	cc
50	que	SCONJ	51	mark
51	ama	VERB	44	conj
52	a	ADP	53	case
53	España	PROPN	51	obj
54	(	PUNCT	59	punct
55	a	ADP	57	case
56	lo	PRON	57	det
57	que	PRON	59	obl
58	éste	PRON	59	nsubj
59	replicó	VERB	51	parataxis
60	rápido	ADV	59	advmod
61	:	PUNCT	64	punct
62	"	PUNCT	64	punct
63	Soy	AUX	64	cop
64	patriota	ADJ	59	advcl
65	,	PUNCT	68	punct
66	pero	CCONJ	68	cc
67	no	ADV	68	advmod
68	patriotero	ADJ	64	conj
69	"	PUNCT	64	punct
70	)	PUNCT	59	punct
71	.	PUNCT	5	punct