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:
A dos puntos se situaría el SPOE, que en las elecciones parlamentarias de octubre confirmó su liderazgo en el panorama político austriaco, y en tercer lugar y muy alejado, con el 20 por ciento de los sufragios, el FPOE, que arrebató al OEVP el segundo puesto en esos comicios.
Postion	Tokenization
1	A
2	dos
3	puntos
4	se
5	situaría
6	el
7	SPOE
8	,
9	que
10	en
11	las
12	elecciones
13	parlamentarias
14	de
15	octubre
16	confirmó
17	su
18	liderazgo
19	en
20	el
21	panorama
22	político
23	austriaco
24	,
25	y
26	en
27	tercer
28	lugar
29	y
30	muy
31	alejado
32	,
33	con
34	el
35	20
36	por
37	ciento
38	de
39	los
40	sufragios
41	,
42	el
43	FPOE
44	,
45	que
46	arrebató
47	al
48	OEVP
49	el
50	segundo
51	puesto
52	en
53	esos
54	comicios
55	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	dos	NUM	3	nummod
3	puntos	NOUN	5	obl
4	se	PRON	5	expl:pv
5	situaría	VERB	0	root
6	el	DET	7	det
7	SPOE	PROPN	5	nsubj
8	,	PUNCT	16	punct
9	que	PRON	16	nsubj
10	en	ADP	12	case
11	las	DET	12	det
12	elecciones	NOUN	16	obl
13	parlamentarias	ADJ	12	amod
14	de	ADP	15	case
15	octubre	NOUN	12	nmod
16	confirmó	VERB	7	acl
17	su	DET	18	det
18	liderazgo	NOUN	16	obj
19	en	ADP	21	case
20	el	DET	21	det
21	panorama	NOUN	18	nmod
22	político	ADJ	21	amod
23	austriaco	ADJ	21	amod
24	,	PUNCT	28	punct
25	y	CCONJ	28	cc
26	en	ADP	28	case
27	tercer	ADJ	28	amod
28	lugar	NOUN	5	conj
29	y	CCONJ	31	cc
30	muy	ADV	31	advmod
31	alejado	ADJ	28	conj
32	,	PUNCT	35	punct
33	con	ADP	35	case
34	el	DET	35	det
35	20	NUM	31	obl
36	por	ADP	37	case
37	ciento	NUM	35	compound
38	de	ADP	40	case
39	los	DET	40	det
40	sufragios	NOUN	35	nmod
41	,	PUNCT	35	punct
42	el	DET	43	det
43	FPOE	PROPN	31	obj
44	,	PUNCT	46	punct
45	que	PRON	46	nsubj
46	arrebató	VERB	43	acl
47	al	ADP	48	case
48	OEVP	PROPN	46	obj
49	el	DET	51	det
50	segundo	ADJ	51	amod
51	puesto	NOUN	46	obj
52	en	ADP	54	case
53	esos	DET	54	det
54	comicios	NOUN	51	nmod
55	.	PUNCT	5	punct