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:
También se recurre, como las empresas privadas, a las jubilaciones anticipadas para hacer recaer sobre la Seguridad Social - - una Seguridad Social que recorta fármacos para ahorrar - - una parte de los costes generados por la medida arbitraria.
Postion	Tokenization
1	También
2	se
3	recurre
4	,
5	como
6	las
7	empresas
8	privadas
9	,
10	a
11	las
12	jubilaciones
13	anticipadas
14	para
15	hacer
16	recaer
17	sobre
18	la
19	Seguridad
20	Social
21	-
22	-
23	una
24	Seguridad
25	Social
26	que
27	recorta
28	fármacos
29	para
30	ahorrar
31	-
32	-
33	una
34	parte
35	de
36	los
37	costes
38	generados
39	por
40	la
41	medida
42	arbitraria
43	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	3	advmod
2	se	PRON	3	expl:impers
3	recurre	VERB	0	root
4	,	PUNCT	7	punct
5	como	SCONJ	7	mark
6	las	DET	7	det
7	empresas	NOUN	3	obl
8	privadas	ADJ	7	amod
9	,	PUNCT	7	punct
10	a	ADP	12	case
11	las	DET	12	det
12	jubilaciones	NOUN	3	obj
13	anticipadas	ADJ	12	amod
14	para	ADP	15	mark
15	hacer	VERB	3	advcl
16	recaer	VERB	15	xcomp
17	sobre	ADP	19	case
18	la	DET	19	det
19	Seguridad	PROPN	15	obl
20	Social	PROPN	19	flat
21	-	PUNCT	24	punct
22	-	PUNCT	24	punct
23	una	DET	24	det
24	Seguridad	PROPN	19	flat
25	Social	PROPN	24	flat
26	que	PRON	27	nsubj
27	recorta	VERB	24	acl
28	fármacos	NOUN	27	obj
29	para	ADP	30	mark
30	ahorrar	VERB	27	advcl
31	-	PUNCT	24	punct
32	-	PUNCT	24	punct
33	una	DET	34	det
34	parte	NOUN	15	obj
35	de	ADP	37	case
36	los	DET	37	det
37	costes	NOUN	34	nmod
38	generados	ADJ	37	amod
39	por	ADP	41	case
40	la	DET	41	det
41	medida	NOUN	38	obj
42	arbitraria	ADJ	41	amod
43	.	PUNCT	3	punct