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:
Era un marcador ideal para un equipo que sabe administrar sus rentas bajo la batuta de Andre Turner, como había demostrado en la semifinal ante el Barcelona.
Postion	Tokenization
1	Era
2	un
3	marcador
4	ideal
5	para
6	un
7	equipo
8	que
9	sabe
10	administrar
11	sus
12	rentas
13	bajo
14	la
15	batuta
16	de
17	Andre
18	Turner
19	,
20	como
21	había
22	demostrado
23	en
24	la
25	semifinal
26	ante
27	el
28	Barcelona
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Era	AUX	3	cop
2	un	DET	3	det
3	marcador	NOUN	0	root
4	ideal	ADJ	3	amod
5	para	ADP	7	case
6	un	DET	7	det
7	equipo	NOUN	4	nmod
8	que	PRON	9	nsubj
9	sabe	VERB	7	acl
10	administrar	VERB	9	xcomp
11	sus	DET	12	det
12	rentas	NOUN	10	obj
13	bajo	ADP	15	case
14	la	DET	15	det
15	batuta	NOUN	10	obl
16	de	ADP	17	case
17	Andre	PROPN	15	nmod
18	Turner	PROPN	17	flat
19	,	PUNCT	22	punct
20	como	SCONJ	22	mark
21	había	AUX	22	aux
22	demostrado	VERB	9	advcl
23	en	ADP	25	case
24	la	DET	25	det
25	semifinal	NOUN	22	obl
26	ante	ADP	28	case
27	el	DET	28	det
28	Barcelona	PROPN	22	obl
29	.	PUNCT	3	punct