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:
El Unicaja logró que el Barça mordiera el polvo en Málaga y sumara su cuarta derrota en la Liga en un partido intenso, emotivo y no exento de polémica.
Postion	Tokenization
1	El
2	Unicaja
3	logró
4	que
5	el
6	Barça
7	mordiera
8	el
9	polvo
10	en
11	Málaga
12	y
13	sumara
14	su
15	cuarta
16	derrota
17	en
18	la
19	Liga
20	en
21	un
22	partido
23	intenso
24	,
25	emotivo
26	y
27	no
28	exento
29	de
30	polémica
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Unicaja	PROPN	3	nsubj
3	logró	VERB	0	root
4	que	SCONJ	7	mark
5	el	DET	6	det
6	Barça	PROPN	7	nsubj
7	mordiera	VERB	3	ccomp
8	el	DET	9	det
9	polvo	NOUN	7	obj
10	en	ADP	11	case
11	Málaga	PROPN	7	obl
12	y	CCONJ	13	cc
13	sumara	VERB	7	conj
14	su	DET	16	det
15	cuarta	ADJ	16	amod
16	derrota	NOUN	13	obj
17	en	ADP	19	case
18	la	DET	19	det
19	Liga	PROPN	16	nmod
20	en	ADP	22	case
21	un	DET	22	det
22	partido	NOUN	13	obl
23	intenso	ADJ	22	amod
24	,	PUNCT	25	punct
25	emotivo	ADJ	23	conj
26	y	CCONJ	28	cc
27	no	ADV	28	advmod
28	exento	ADJ	23	conj
29	de	ADP	30	case
30	polémica	NOUN	28	nmod
31	.	PUNCT	3	punct