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 sarcasmo hiriente del autor enlaza subversivo con la novela de formación alemana, con el novelar en torno a un personaje principal que se hace sujeto de sí mismo, paralelamente a los hechos que lo determinan.
Postion	Tokenization
1	El
2	sarcasmo
3	hiriente
4	del
5	autor
6	enlaza
7	subversivo
8	con
9	la
10	novela
11	de
12	formación
13	alemana
14	,
15	con
16	el
17	novelar
18	en
19	torno
20	a
21	un
22	personaje
23	principal
24	que
25	se
26	hace
27	sujeto
28	de
29	sí
30	mismo
31	,
32	paralelamente
33	a
34	los
35	hechos
36	que
37	lo
38	determinan
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	sarcasmo	NOUN	6	nsubj
3	hiriente	ADJ	2	amod
4	del	ADP	5	case
5	autor	NOUN	2	nmod
6	enlaza	VERB	0	root
7	subversivo	ADJ	6	obj
8	con	ADP	10	case
9	la	DET	10	det
10	novela	NOUN	6	obj
11	de	ADP	12	case
12	formación	NOUN	10	nmod
13	alemana	ADJ	12	amod
14	,	PUNCT	17	punct
15	con	ADP	17	mark
16	el	DET	17	det
17	novelar	VERB	10	conj
18	en	ADP	22	case
19	torno	NOUN	18	fixed
20	a	ADP	18	fixed
21	un	DET	22	det
22	personaje	NOUN	17	obl
23	principal	ADJ	22	amod
24	que	PRON	26	nsubj
25	se	PRON	26	iobj
26	hace	VERB	22	acl
27	sujeto	NOUN	26	obj
28	de	ADP	29	case
29	sí	PRON	27	nmod
30	mismo	ADJ	29	amod
31	,	PUNCT	32	punct
32	paralelamente	ADV	26	advmod
33	a	ADP	35	case
34	los	DET	35	det
35	hechos	NOUN	32	obl
36	que	PRON	38	nsubj
37	lo	PRON	38	obj
38	determinan	VERB	35	acl
39	.	PUNCT	6	punct