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:
Los escaños obtenidos por el PP en Madrid suponen "el mejor resultado del partido en Madrid en 25 años de democracia", dijo a Efe el presidente del PP en la región, Pío García-Escudero, quien contrapuso el "éxito" de los populares a la "profunda crisis en la que ha entrado el PSOE y toda la izquierda".
Postion	Tokenization
1	Los
2	escaños
3	obtenidos
4	por
5	el
6	PP
7	en
8	Madrid
9	suponen
10	"
11	el
12	mejor
13	resultado
14	del
15	partido
16	en
17	Madrid
18	en
19	25
20	años
21	de
22	democracia
23	"
24	,
25	dijo
26	a
27	Efe
28	el
29	presidente
30	del
31	PP
32	en
33	la
34	región
35	,
36	Pío
37	García-Escudero
38	,
39	quien
40	contrapuso
41	el
42	"
43	éxito
44	"
45	de
46	los
47	populares
48	a
49	la
50	"
51	profunda
52	crisis
53	en
54	la
55	que
56	ha
57	entrado
58	el
59	PSOE
60	y
61	toda
62	la
63	izquierda
64	"
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	escaños	NOUN	9	nsubj
3	obtenidos	ADJ	2	amod
4	por	ADP	6	case
5	el	DET	6	det
6	PP	PROPN	3	obj
7	en	ADP	8	case
8	Madrid	PROPN	3	obl
9	suponen	VERB	25	ccomp
10	"	PUNCT	13	punct
11	el	DET	13	det
12	mejor	ADJ	13	amod
13	resultado	NOUN	9	obj
14	del	ADP	15	case
15	partido	NOUN	13	nmod
16	en	ADP	17	case
17	Madrid	PROPN	13	nmod
18	en	ADP	20	case
19	25	NUM	20	nummod
20	años	NOUN	13	nmod
21	de	ADP	22	case
22	democracia	NOUN	20	nmod
23	"	PUNCT	13	punct
24	,	PUNCT	9	punct
25	dijo	VERB	0	root
26	a	ADP	27	case
27	Efe	PROPN	25	iobj
28	el	DET	29	det
29	presidente	NOUN	25	nsubj
30	del	ADP	31	case
31	PP	PROPN	29	nmod
32	en	ADP	34	case
33	la	DET	34	det
34	región	NOUN	29	nmod
35	,	PUNCT	36	punct
36	Pío	PROPN	29	appos
37	García-Escudero	PROPN	36	flat
38	,	PUNCT	36	punct
39	quien	PRON	40	nsubj
40	contrapuso	VERB	29	acl
41	el	DET	43	det
42	"	PUNCT	43	punct
43	éxito	NOUN	40	obj
44	"	PUNCT	43	punct
45	de	ADP	47	case
46	los	DET	47	det
47	populares	NOUN	43	nmod
48	a	ADP	52	case
49	la	DET	52	det
50	"	PUNCT	52	punct
51	profunda	ADJ	52	amod
52	crisis	NOUN	40	obj
53	en	ADP	55	case
54	la	DET	55	det
55	que	PRON	57	obj
56	ha	AUX	57	aux
57	entrado	VERB	52	acl
58	el	DET	59	det
59	PSOE	PROPN	57	nsubj
60	y	CCONJ	63	cc
61	toda	DET	62	det
62	la	DET	63	det
63	izquierda	NOUN	59	conj
64	"	PUNCT	52	punct
65	.	PUNCT	25	punct