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 punto más crítico en el trabajo de las oficinas se vivirá con la puesta en marcha del decreto de regularización de los 80.000 sin papeles llegados a España antes del pasado 1 de junio, cuyo borrador fue debatido ayer en el Foro de la Inmigración.
Postion	Tokenization
1	El
2	punto
3	más
4	crítico
5	en
6	el
7	trabajo
8	de
9	las
10	oficinas
11	se
12	vivirá
13	con
14	la
15	puesta
16	en
17	marcha
18	del
19	decreto
20	de
21	regularización
22	de
23	los
24	80.000
25	sin
26	papeles
27	llegados
28	a
29	España
30	antes
31	del
32	pasado
33	1
34	de
35	junio
36	,
37	cuyo
38	borrador
39	fue
40	debatido
41	ayer
42	en
43	el
44	Foro
45	de
46	la
47	Inmigración
48	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	punto	NOUN	12	nsubj
3	más	ADV	4	advmod
4	crítico	ADJ	2	amod
5	en	ADP	7	case
6	el	DET	7	det
7	trabajo	NOUN	2	nmod
8	de	ADP	10	case
9	las	DET	10	det
10	oficinas	NOUN	7	nmod
11	se	PRON	12	expl:pass
12	vivirá	VERB	0	root
13	con	ADP	15	case
14	la	DET	15	det
15	puesta	NOUN	12	obl
16	en	ADP	17	case
17	marcha	NOUN	15	compound
18	del	ADP	19	case
19	decreto	NOUN	15	nmod
20	de	ADP	21	case
21	regularización	NOUN	19	nmod
22	de	ADP	26	case
23	los	DET	24	det
24	80.000	NUM	26	nummod
25	sin	ADP	24	case
26	papeles	NOUN	21	nmod
27	llegados	ADJ	24	amod
28	a	ADP	29	case
29	España	PROPN	27	obl
30	antes	ADV	27	advmod
31	del	ADP	33	case
32	pasado	ADJ	33	amod
33	1	NUM	30	obl
34	de	ADP	35	case
35	junio	NOUN	33	compound
36	,	PUNCT	40	punct
37	cuyo	PRON	38	nmod
38	borrador	NOUN	40	nsubj
39	fue	AUX	40	aux
40	debatido	VERB	19	acl
41	ayer	ADV	40	advmod
42	en	ADP	44	case
43	el	DET	44	det
44	Foro	PROPN	40	obl
45	de	ADP	47	case
46	la	DET	47	det
47	Inmigración	PROPN	44	flat
48	.	PUNCT	12	punct