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:
Según Sabariz, García le pidió que en partidos de Primera División femenina pitase a favor de los equipos "de casa" porque "también fuera hacen lo mismo".
Postion	Tokenization
1	Según
2	Sabariz
3	,
4	García
5	le
6	pidió
7	que
8	en
9	partidos
10	de
11	Primera
12	División
13	femenina
14	pitase
15	a
16	favor
17	de
18	los
19	equipos
20	"
21	de
22	casa
23	"
24	porque
25	"
26	también
27	fuera
28	hacen
29	lo
30	mismo
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Sabariz	PROPN	6	obl
3	,	PUNCT	2	punct
4	García	PROPN	6	nsubj
5	le	PRON	6	iobj
6	pidió	VERB	0	root
7	que	SCONJ	14	mark
8	en	ADP	9	case
9	partidos	NOUN	14	obl
10	de	ADP	11	case
11	Primera	PROPN	9	nmod
12	División	PROPN	11	flat
13	femenina	ADJ	11	amod
14	pitase	VERB	6	ccomp
15	a	ADP	19	case
16	favor	NOUN	15	fixed
17	de	ADP	15	fixed
18	los	DET	19	det
19	equipos	NOUN	14	obl
20	"	PUNCT	22	punct
21	de	ADP	22	case
22	casa	NOUN	19	nmod
23	"	PUNCT	22	punct
24	porque	SCONJ	28	mark
25	"	PUNCT	28	punct
26	también	ADV	28	advmod
27	fuera	ADV	28	advmod
28	hacen	VERB	14	advcl
29	lo	PRON	30	det
30	mismo	PRON	28	obj
31	"	PUNCT	28	punct
32	.	PUNCT	6	punct