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:
Sin embargo, sabiendo defender se provocan más faltas de ataque con una defensa agresiva, ya que los atacantes necesitan actuar con más velocidad y es más difícil controlar sus acciones.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	sabiendo
5	defender
6	se
7	provocan
8	más
9	faltas
10	de
11	ataque
12	con
13	una
14	defensa
15	agresiva
16	,
17	ya
18	que
19	los
20	atacantes
21	necesitan
22	actuar
23	con
24	más
25	velocidad
26	y
27	es
28	más
29	difícil
30	controlar
31	sus
32	acciones
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	7	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	sabiendo	AUX	5	aux
5	defender	VERB	7	advcl
6	se	PRON	7	expl:pass
7	provocan	VERB	0	root
8	más	ADV	9	advmod
9	faltas	NOUN	7	nsubj
10	de	ADP	11	case
11	ataque	NOUN	9	nmod
12	con	ADP	14	case
13	una	DET	14	det
14	defensa	NOUN	7	obl
15	agresiva	ADJ	14	amod
16	,	PUNCT	21	punct
17	ya	ADV	21	mark
18	que	SCONJ	17	fixed
19	los	DET	20	det
20	atacantes	NOUN	21	nsubj
21	necesitan	VERB	7	advcl
22	actuar	VERB	21	xcomp
23	con	ADP	25	case
24	más	ADV	25	advmod
25	velocidad	NOUN	22	obl
26	y	CCONJ	29	cc
27	es	AUX	29	cop
28	más	ADV	29	advmod
29	difícil	ADJ	21	conj
30	controlar	VERB	29	csubj
31	sus	DET	32	det
32	acciones	NOUN	30	obj
33	.	PUNCT	7	punct