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:
Si las bajas fueran dos, la situación sería aún peor: el número 13 es Antoni Marcet, que tras las elecciones abandonó CDC y orbita ahora alrededor de Ciutadans pel Canvi.
Postion	Tokenization
1	Si
2	las
3	bajas
4	fueran
5	dos
6	,
7	la
8	situación
9	sería
10	aún
11	peor
12	:
13	el
14	número
15	13
16	es
17	Antoni
18	Marcet
19	,
20	que
21	tras
22	las
23	elecciones
24	abandonó
25	CDC
26	y
27	orbita
28	ahora
29	alrededor
30	de
31	Ciutadans
32	pel
33	Canvi
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	5	mark
2	las	DET	3	det
3	bajas	NOUN	5	nsubj
4	fueran	AUX	5	cop
5	dos	NUM	11	advcl
6	,	PUNCT	5	punct
7	la	DET	8	det
8	situación	NOUN	11	nsubj
9	sería	AUX	11	cop
10	aún	ADV	11	advmod
11	peor	ADJ	0	root
12	:	PUNCT	17	punct
13	el	DET	14	det
14	número	NOUN	17	nsubj
15	13	NUM	14	appos
16	es	AUX	17	cop
17	Antoni	PROPN	11	advcl
18	Marcet	PROPN	17	flat
19	,	PUNCT	24	punct
20	que	PRON	24	nsubj
21	tras	ADP	23	case
22	las	DET	23	det
23	elecciones	NOUN	24	obl
24	abandonó	VERB	17	acl
25	CDC	PROPN	24	obj
26	y	CCONJ	27	cc
27	orbita	VERB	24	conj
28	ahora	ADV	27	advmod
29	alrededor	ADV	27	advmod
30	de	ADP	31	case
31	Ciutadans	PROPN	29	obl
32	pel	ADP	33	case
33	Canvi	PROPN	31	flat
34	.	PUNCT	11	punct