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:
"Aunque la presión puede jugar en contra del Deportivo, porque saben que si quieren ganar la liga deben ganar todos los partidos en casa, son un gran equipo que lleva cinco puntos de diferencia al segundo y será muy complicado ganar allí", añadió el defensa.
Postion	Tokenization
1	"
2	Aunque
3	la
4	presión
5	puede
6	jugar
7	en
8	contra
9	del
10	Deportivo
11	,
12	porque
13	saben
14	que
15	si
16	quieren
17	ganar
18	la
19	liga
20	deben
21	ganar
22	todos
23	los
24	partidos
25	en
26	casa
27	,
28	son
29	un
30	gran
31	equipo
32	que
33	lleva
34	cinco
35	puntos
36	de
37	diferencia
38	al
39	segundo
40	y
41	será
42	muy
43	complicado
44	ganar
45	allí
46	"
47	,
48	añadió
49	el
50	defensa
51	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	31	punct
2	Aunque	SCONJ	6	mark
3	la	DET	4	det
4	presión	NOUN	6	nsubj
5	puede	AUX	6	aux
6	jugar	VERB	31	advcl
7	en	ADP	10	case
8	contra	NOUN	7	fixed
9	del	ADP	7	fixed
10	Deportivo	PROPN	6	obl
11	,	PUNCT	13	punct
12	porque	SCONJ	13	mark
13	saben	VERB	6	advcl
14	que	SCONJ	21	mark
15	si	SCONJ	16	mark
16	quieren	VERB	21	advcl
17	ganar	VERB	16	xcomp
18	la	DET	19	det
19	liga	NOUN	17	obj
20	deben	AUX	21	aux
21	ganar	VERB	13	xcomp
22	todos	DET	23	det
23	los	DET	24	det
24	partidos	NOUN	21	obj
25	en	ADP	26	case
26	casa	NOUN	21	obl
27	,	PUNCT	6	punct
28	son	AUX	31	cop
29	un	DET	31	det
30	gran	ADJ	31	amod
31	equipo	NOUN	48	ccomp
32	que	PRON	33	nsubj
33	lleva	VERB	31	acl
34	cinco	NUM	35	nummod
35	puntos	NOUN	33	obl
36	de	ADP	37	case
37	diferencia	NOUN	35	nmod
38	al	ADP	39	case
39	segundo	NOUN	33	obj
40	y	CCONJ	43	cc
41	será	AUX	43	cop
42	muy	ADV	43	advmod
43	complicado	ADJ	31	conj
44	ganar	VERB	43	csubj
45	allí	ADV	44	advmod
46	"	PUNCT	31	punct
47	,	PUNCT	31	punct
48	añadió	VERB	0	root
49	el	DET	50	det
50	defensa	NOUN	48	nsubj
51	.	PUNCT	48	punct