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:
Henrique da Silva 'Catanha'ganó la partida a Jimmy Hasselbaink en el estadio Vicente Calderón y su equipo, el Málaga, consiguió un empate ante el Atlético de Madrid (2-2) que complica la permanencia en Primera de un conjunto madrileño que lleva once jornadas sin vencer.
Postion	Tokenization
1	Henrique
2	da
3	Silva
4	'Catanha'
5	ganó
6	la
7	partida
8	a
9	Jimmy
10	Hasselbaink
11	en
12	el
13	estadio
14	Vicente
15	Calderón
16	y
17	su
18	equipo
19	,
20	el
21	Málaga
22	,
23	consiguió
24	un
25	empate
26	ante
27	el
28	Atlético
29	de
30	Madrid
31	(
32	2-2
33	)
34	que
35	complica
36	la
37	permanencia
38	en
39	Primera
40	de
41	un
42	conjunto
43	madrileño
44	que
45	lleva
46	once
47	jornadas
48	sin
49	vencer
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Henrique	PROPN	5	nsubj
2	da	ADP	3	case
3	Silva	PROPN	1	flat
4	'Catanha'	PROPN	1	flat
5	ganó	VERB	0	root
6	la	DET	7	det
7	partida	NOUN	5	obj
8	a	ADP	9	case
9	Jimmy	PROPN	5	obj
10	Hasselbaink	PROPN	9	flat
11	en	ADP	13	case
12	el	DET	13	det
13	estadio	NOUN	5	obl
14	Vicente	PROPN	13	appos
15	Calderón	PROPN	14	flat
16	y	CCONJ	23	cc
17	su	DET	18	det
18	equipo	NOUN	23	nsubj
19	,	PUNCT	21	punct
20	el	DET	21	det
21	Málaga	PROPN	18	appos
22	,	PUNCT	21	punct
23	consiguió	VERB	5	conj
24	un	DET	25	det
25	empate	NOUN	23	obj
26	ante	ADP	28	case
27	el	DET	28	det
28	Atlético	PROPN	25	nmod
29	de	ADP	30	case
30	Madrid	PROPN	28	flat
31	(	PUNCT	32	punct
32	2-2	NUM	25	appos
33	)	PUNCT	32	punct
34	que	PRON	35	nsubj
35	complica	VERB	25	acl
36	la	DET	37	det
37	permanencia	NOUN	35	obj
38	en	ADP	39	case
39	Primera	PROPN	37	nmod
40	de	ADP	42	case
41	un	DET	42	det
42	conjunto	NOUN	37	nmod
43	madrileño	ADJ	42	amod
44	que	PRON	45	nsubj
45	lleva	VERB	42	acl
46	once	NUM	47	nummod
47	jornadas	NOUN	45	obj
48	sin	ADP	49	mark
49	vencer	VERB	47	acl
50	.	PUNCT	5	punct