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:
Ha ocupado diversos puestos en la Dirección General del Instituto Nacional de la Seguridad Social, en la que fue adjunta al director general y subdirectora general adjunta de Gestión de Prestaciones.
Postion	Tokenization
1	Ha
2	ocupado
3	diversos
4	puestos
5	en
6	la
7	Dirección
8	General
9	del
10	Instituto
11	Nacional
12	de
13	la
14	Seguridad
15	Social
16	,
17	en
18	la
19	que
20	fue
21	adjunta
22	al
23	director
24	general
25	y
26	subdirectora
27	general
28	adjunta
29	de
30	Gestión
31	de
32	Prestaciones
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ha	AUX	2	aux
2	ocupado	VERB	0	root
3	diversos	DET	4	det
4	puestos	NOUN	2	obj
5	en	ADP	7	case
6	la	DET	7	det
7	Dirección	PROPN	2	obl
8	General	PROPN	7	flat
9	del	ADP	10	case
10	Instituto	PROPN	7	flat
11	Nacional	PROPN	7	flat
12	de	ADP	14	case
13	la	DET	14	det
14	Seguridad	PROPN	7	flat
15	Social	PROPN	7	flat
16	,	PUNCT	21	punct
17	en	ADP	19	case
18	la	DET	19	det
19	que	PRON	21	obl
20	fue	AUX	21	cop
21	adjunta	NOUN	7	acl
22	al	ADP	23	case
23	director	NOUN	21	nmod
24	general	ADJ	23	amod
25	y	CCONJ	26	cc
26	subdirectora	NOUN	21	conj
27	general	ADJ	26	amod
28	adjunta	ADJ	26	amod
29	de	ADP	30	case
30	Gestión	PROPN	26	nmod
31	de	ADP	32	case
32	Prestaciones	PROPN	30	flat
33	.	PUNCT	2	punct