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:
Con la misma resolución, pero con un riesgo ciertamente menor el abogado Spirk hizo las maletas y el uno de enero de 1992 abrió una oficina en Erfurt, la capital de Turingia.
Postion	Tokenization
1	Con
2	la
3	misma
4	resolución
5	,
6	pero
7	con
8	un
9	riesgo
10	ciertamente
11	menor
12	el
13	abogado
14	Spirk
15	hizo
16	las
17	maletas
18	y
19	el
20	uno
21	de
22	enero
23	de
24	1992
25	abrió
26	una
27	oficina
28	en
29	Erfurt
30	,
31	la
32	capital
33	de
34	Turingia
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	4	case
2	la	DET	4	det
3	misma	DET	2	det
4	resolución	NOUN	15	obl
5	,	PUNCT	9	punct
6	pero	CCONJ	9	cc
7	con	ADP	9	case
8	un	DET	9	det
9	riesgo	NOUN	4	conj
10	ciertamente	ADV	11	advmod
11	menor	ADJ	9	amod
12	el	DET	13	det
13	abogado	NOUN	15	nsubj
14	Spirk	PROPN	13	appos
15	hizo	VERB	0	root
16	las	DET	17	det
17	maletas	NOUN	15	obj
18	y	CCONJ	25	cc
19	el	DET	20	det
20	uno	NOUN	25	obl
21	de	ADP	22	case
22	enero	NOUN	20	compound
23	de	ADP	24	case
24	1992	NUM	20	compound
25	abrió	VERB	15	conj
26	una	DET	27	det
27	oficina	NOUN	25	obj
28	en	ADP	29	case
29	Erfurt	PROPN	25	obl
30	,	PUNCT	32	punct
31	la	DET	32	det
32	capital	NOUN	29	appos
33	de	ADP	34	case
34	Turingia	PROPN	32	nmod
35	.	PUNCT	15	punct