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:
La serie tiene como protagonista a una patóloga forense, que en la resolución de los crímenes va más allá de lo que permiten las investigaciones policiales.
Postion	Tokenization
1	La
2	serie
3	tiene
4	como
5	protagonista
6	a
7	una
8	patóloga
9	forense
10	,
11	que
12	en
13	la
14	resolución
15	de
16	los
17	crímenes
18	va
19	más
20	allá
21	de
22	lo
23	que
24	permiten
25	las
26	investigaciones
27	policiales
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	serie	NOUN	3	nsubj
3	tiene	VERB	0	root
4	como	SCONJ	5	mark
5	protagonista	NOUN	3	obj
6	a	ADP	8	case
7	una	DET	8	det
8	patóloga	NOUN	3	obj
9	forense	ADJ	8	amod
10	,	PUNCT	18	punct
11	que	PRON	18	nsubj
12	en	ADP	14	case
13	la	DET	14	det
14	resolución	NOUN	18	obl
15	de	ADP	17	case
16	los	DET	17	det
17	crímenes	NOUN	14	nmod
18	va	VERB	8	acl
19	más	ADV	20	advmod
20	allá	ADV	18	advmod
21	de	ADP	24	mark
22	lo	PRON	24	det
23	que	PRON	24	obj
24	permiten	VERB	20	advcl
25	las	DET	26	det
26	investigaciones	NOUN	24	nsubj
27	policiales	ADJ	26	amod
28	.	PUNCT	3	punct