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 documento propone que el "Contrato ayuda para regresar al empleo (Care)" afecte a las personas que engrosen las listas del paro "a partir de 1 de enero del 2001".
Postion	Tokenization
1	El
2	documento
3	propone
4	que
5	el
6	"
7	Contrato
8	ayuda
9	para
10	regresar
11	al
12	empleo
13	(
14	Care
15	)
16	"
17	afecte
18	a
19	las
20	personas
21	que
22	engrosen
23	las
24	listas
25	del
26	paro
27	"
28	a
29	partir
30	de
31	1
32	de
33	enero
34	del
35	2001
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	documento	NOUN	3	nsubj
3	propone	VERB	0	root
4	que	SCONJ	17	mark
5	el	DET	7	det
6	"	PUNCT	7	punct
7	Contrato	PROPN	17	nsubj
8	ayuda	PROPN	7	flat
9	para	ADP	10	case
10	regresar	PROPN	7	flat
11	al	ADP	12	case
12	empleo	PROPN	7	flat
13	(	PUNCT	14	punct
14	Care	PROPN	7	flat
15	)	PUNCT	14	punct
16	"	PUNCT	7	punct
17	afecte	VERB	3	ccomp
18	a	ADP	20	case
19	las	DET	20	det
20	personas	NOUN	17	obj
21	que	PRON	22	nsubj
22	engrosen	VERB	20	acl
23	las	DET	24	det
24	listas	NOUN	22	obj
25	del	ADP	26	case
26	paro	NOUN	24	nmod
27	"	PUNCT	31	punct
28	a	ADP	31	case
29	partir	NOUN	28	fixed
30	de	ADP	28	fixed
31	1	NUM	22	obl
32	de	ADP	33	case
33	enero	NOUN	31	compound
34	del	ADP	35	case
35	2001	NUM	31	compound
36	"	PUNCT	31	punct
37	.	PUNCT	3	punct