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:
Sin embargo, este tema - - ya de por sí complejo y sorprendente - - arrastra a otro que representa un problema grave y oneroso para las pequeñas y medianas empresas (pymes).
Postion	Tokenization
1	Sin
2	embargo
3	,
4	este
5	tema
6	-
7	-
8	ya
9	de
10	por
11	sí
12	complejo
13	y
14	sorprendente
15	-
16	-
17	arrastra
18	a
19	otro
20	que
21	representa
22	un
23	problema
24	grave
25	y
26	oneroso
27	para
28	las
29	pequeñas
30	y
31	medianas
32	empresas
33	(
34	pymes
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	17	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	este	DET	5	det
5	tema	NOUN	17	nsubj
6	-	PUNCT	12	punct
7	-	PUNCT	12	punct
8	ya	ADV	12	advmod
9	de	ADP	8	advmod
10	por	ADP	9	fixed
11	sí	NOUN	9	fixed
12	complejo	ADJ	5	amod
13	y	CCONJ	14	cc
14	sorprendente	ADJ	12	conj
15	-	PUNCT	12	punct
16	-	PUNCT	12	punct
17	arrastra	VERB	0	root
18	a	ADP	19	case
19	otro	PRON	17	obj
20	que	PRON	21	nsubj
21	representa	VERB	19	acl
22	un	DET	23	det
23	problema	NOUN	21	obj
24	grave	ADJ	23	amod
25	y	CCONJ	26	cc
26	oneroso	ADJ	24	conj
27	para	ADP	32	case
28	las	DET	32	det
29	pequeñas	ADJ	32	amod
30	y	CCONJ	31	cc
31	medianas	ADJ	29	conj
32	empresas	NOUN	23	nmod
33	(	PUNCT	34	punct
34	pymes	NOUN	32	appos
35	)	PUNCT	34	punct
36	.	PUNCT	17	punct