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:
En esos comicios, el FPOE perdió cinco puntos, mientras que su socio en la coalición en el Gobierno federal, el OEVP se alzó con la mayoría absoluta.
Postion	Tokenization
1	En
2	esos
3	comicios
4	,
5	el
6	FPOE
7	perdió
8	cinco
9	puntos
10	,
11	mientras
12	que
13	su
14	socio
15	en
16	la
17	coalición
18	en
19	el
20	Gobierno
21	federal
22	,
23	el
24	OEVP
25	se
26	alzó
27	con
28	la
29	mayoría
30	absoluta
31	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	esos	DET	3	det
3	comicios	NOUN	7	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	FPOE	PROPN	7	nsubj
7	perdió	VERB	11	parataxis
8	cinco	NUM	9	nummod
9	puntos	NOUN	7	obj
10	,	PUNCT	11	punct
11	mientras	CCONJ	0	root
12	que	SCONJ	11	fixed
13	su	DET	14	det
14	socio	NOUN	26	nsubj
15	en	ADP	17	case
16	la	DET	17	det
17	coalición	NOUN	14	nmod
18	en	ADP	20	case
19	el	DET	20	det
20	Gobierno	PROPN	14	nmod
21	federal	ADJ	20	amod
22	,	PUNCT	24	punct
23	el	DET	24	det
24	OEVP	PROPN	14	appos
25	se	PRON	26	expl:pv
26	alzó	VERB	11	parataxis
27	con	ADP	29	case
28	la	DET	29	det
29	mayoría	NOUN	26	obl
30	absoluta	ADJ	29	amod
31	.	PUNCT	11	punct