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:
De vuelta a casa, hace unos meses, esta licenciada en Ciencias Políticas ha simultaneado la elaboración de su tesis con la búsqueda de empleo.
Postion	Tokenization
1	De
2	vuelta
3	a
4	casa
5	,
6	hace
7	unos
8	meses
9	,
10	esta
11	licenciada
12	en
13	Ciencias
14	Políticas
15	ha
16	simultaneado
17	la
18	elaboración
19	de
20	su
21	tesis
22	con
23	la
24	búsqueda
25	de
26	empleo
27	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	16	advmod
2	vuelta	NOUN	1	fixed
3	a	ADP	4	case
4	casa	NOUN	1	obl
5	,	PUNCT	6	punct
6	hace	VERB	16	advcl
7	unos	DET	8	det
8	meses	NOUN	6	obj
9	,	PUNCT	8	punct
10	esta	DET	11	det
11	licenciada	NOUN	16	nsubj
12	en	ADP	13	case
13	Ciencias	PROPN	11	nmod
14	Políticas	PROPN	13	flat
15	ha	AUX	16	aux
16	simultaneado	VERB	0	root
17	la	DET	18	det
18	elaboración	NOUN	16	obj
19	de	ADP	21	case
20	su	DET	21	det
21	tesis	NOUN	18	nmod
22	con	ADP	24	case
23	la	DET	24	det
24	búsqueda	NOUN	16	obj
25	de	ADP	26	case
26	empleo	NOUN	24	nmod
27	.	PUNCT	16	punct