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 y contra toda previsión de la administración, en los últimos seis años el desempleo ha crecido de manera alarmante y hoy alcanza a más del 30 por ciento de la población activa.
Postion	Tokenization
1	Sin
2	embargo
3	y
4	contra
5	toda
6	previsión
7	de
8	la
9	administración
10	,
11	en
12	los
13	últimos
14	seis
15	años
16	el
17	desempleo
18	ha
19	crecido
20	de
21	manera
22	alarmante
23	y
24	hoy
25	alcanza
26	a
27	más
28	del
29	30
30	por
31	ciento
32	de
33	la
34	población
35	activa
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	19	advmod
2	embargo	NOUN	1	fixed
3	y	CCONJ	6	cc
4	contra	ADP	6	case
5	toda	DET	6	det
6	previsión	NOUN	1	conj
7	de	ADP	9	case
8	la	DET	9	det
9	administración	NOUN	6	nmod
10	,	PUNCT	1	punct
11	en	ADP	15	case
12	los	DET	15	det
13	últimos	ADJ	12	amod
14	seis	NUM	12	nummod
15	años	NOUN	19	obl
16	el	DET	17	det
17	desempleo	NOUN	19	nsubj
18	ha	AUX	19	aux
19	crecido	VERB	0	root
20	de	ADP	21	case
21	manera	NOUN	19	obl
22	alarmante	ADJ	21	amod
23	y	CCONJ	25	cc
24	hoy	ADV	25	advmod
25	alcanza	VERB	19	conj
26	a	ADP	29	case
27	más	ADV	29	advmod
28	del	ADP	27	case
29	30	NUM	25	obj
30	por	ADP	31	case
31	ciento	NUM	29	compound
32	de	ADP	34	case
33	la	DET	34	det
34	población	NOUN	29	nmod
35	activa	ADJ	34	amod
36	.	PUNCT	19	punct