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:
Lo que señalan los sondeos se puso en evidencia con el fracaso electoral en el Estado federado de Carintia en octubre, el primero del partido en los catorce años que lleva Haider al frente de la formación, en los que ha logrado que pasase de un 5 a un 27 por ciento de votos.
Postion	Tokenization
1	Lo
2	que
3	señalan
4	los
5	sondeos
6	se
7	puso
8	en
9	evidencia
10	con
11	el
12	fracaso
13	electoral
14	en
15	el
16	Estado
17	federado
18	de
19	Carintia
20	en
21	octubre
22	,
23	el
24	primero
25	del
26	partido
27	en
28	los
29	catorce
30	años
31	que
32	lleva
33	Haider
34	al
35	frente
36	de
37	la
38	formación
39	,
40	en
41	los
42	que
43	ha
44	logrado
45	que
46	pasase
47	de
48	un
49	5
50	a
51	un
52	27
53	por
54	ciento
55	de
56	votos
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	3	det
2	que	PRON	3	obj
3	señalan	VERB	7	csubj
4	los	DET	5	det
5	sondeos	NOUN	3	nsubj
6	se	PRON	7	expl:pass
7	puso	VERB	0	root
8	en	ADP	7	advmod
9	evidencia	NOUN	8	fixed
10	con	ADP	12	case
11	el	DET	12	det
12	fracaso	NOUN	7	obl
13	electoral	ADJ	12	amod
14	en	ADP	16	case
15	el	DET	16	det
16	Estado	PROPN	12	nmod
17	federado	ADJ	16	amod
18	de	ADP	19	case
19	Carintia	PROPN	16	nmod
20	en	ADP	21	case
21	octubre	NOUN	12	nmod
22	,	PUNCT	24	punct
23	el	DET	24	det
24	primero	ADJ	12	appos
25	del	ADP	26	case
26	partido	NOUN	24	nmod
27	en	ADP	30	case
28	los	DET	30	det
29	catorce	NUM	28	nummod
30	años	NOUN	24	nmod
31	que	PRON	32	obj
32	lleva	VERB	30	acl
33	Haider	PROPN	32	nsubj
34	al	ADP	38	case
35	frente	NOUN	34	fixed
36	de	ADP	34	fixed
37	la	DET	38	det
38	formación	NOUN	32	obl
39	,	PUNCT	44	punct
40	en	ADP	42	case
41	los	DET	42	det
42	que	PRON	44	obl
43	ha	AUX	44	aux
44	logrado	VERB	30	advcl
45	que	SCONJ	46	mark
46	pasase	VERB	44	ccomp
47	de	ADP	49	case
48	un	DET	49	det
49	5	NUM	46	obl
50	a	ADP	52	case
51	un	DET	52	det
52	27	NUM	46	obl
53	por	ADP	54	case
54	ciento	NUM	52	compound
55	de	ADP	52	nmod
56	votos	NOUN	52	appos
57	.	PUNCT	7	punct