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:
Una beca la catapultó hasta el departamento del ayuntamiento neoyorquino que se ocupa de los sin techo, y de la teoría pasó a una práctica que la absorbió durante un año y medio.
Postion	Tokenization
1	Una
2	beca
3	la
4	catapultó
5	hasta
6	el
7	departamento
8	del
9	ayuntamiento
10	neoyorquino
11	que
12	se
13	ocupa
14	de
15	los
16	sin
17	techo
18	,
19	y
20	de
21	la
22	teoría
23	pasó
24	a
25	una
26	práctica
27	que
28	la
29	absorbió
30	durante
31	un
32	año
33	y
34	medio
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	beca	NOUN	4	nsubj
3	la	PRON	4	obj
4	catapultó	VERB	0	root
5	hasta	ADP	7	case
6	el	DET	7	det
7	departamento	NOUN	4	iobj
8	del	ADP	9	case
9	ayuntamiento	NOUN	7	nmod
10	neoyorquino	ADJ	9	amod
11	que	PRON	13	nsubj
12	se	PRON	13	expl:pv
13	ocupa	VERB	7	acl
14	de	ADP	17	case
15	los	DET	17	det
16	sin	ADP	15	case
17	techo	NOUN	13	obj
18	,	PUNCT	23	punct
19	y	CCONJ	23	cc
20	de	ADP	22	case
21	la	DET	22	det
22	teoría	NOUN	23	obl
23	pasó	VERB	4	conj
24	a	ADP	26	case
25	una	DET	26	det
26	práctica	NOUN	23	obl
27	que	PRON	29	nsubj
28	la	PRON	29	obj
29	absorbió	VERB	26	acl
30	durante	ADP	32	case
31	un	DET	32	det
32	año	NOUN	29	obl
33	y	CCONJ	34	cc
34	medio	NUM	32	conj
35	.	PUNCT	4	punct