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:
Catanha marcó el segundo gol del Málaga y alcanzó a Hasselbaink, que falló un penalti, en lo alto de la tabla de artilleros de la Liga.
Postion	Tokenization
1	Catanha
2	marcó
3	el
4	segundo
5	gol
6	del
7	Málaga
8	y
9	alcanzó
10	a
11	Hasselbaink
12	,
13	que
14	falló
15	un
16	penalti
17	,
18	en
19	lo
20	alto
21	de
22	la
23	tabla
24	de
25	artilleros
26	de
27	la
28	Liga
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Catanha	PROPN	2	nsubj
2	marcó	VERB	0	root
3	el	DET	5	det
4	segundo	ADJ	5	amod
5	gol	NOUN	2	obj
6	del	ADP	7	case
7	Málaga	PROPN	5	nmod
8	y	CCONJ	9	cc
9	alcanzó	VERB	2	conj
10	a	ADP	11	case
11	Hasselbaink	PROPN	9	obj
12	,	PUNCT	14	punct
13	que	PRON	14	nsubj
14	falló	VERB	11	acl
15	un	DET	16	det
16	penalti	NOUN	14	obj
17	,	PUNCT	20	punct
18	en	ADP	20	case
19	lo	PRON	20	det
20	alto	ADJ	9	advmod
21	de	ADP	23	case
22	la	DET	23	det
23	tabla	NOUN	20	nmod
24	de	ADP	25	case
25	artilleros	NOUN	23	nmod
26	de	ADP	28	case
27	la	DET	28	det
28	Liga	PROPN	25	nmod
29	.	PUNCT	2	punct