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:
Al mismo tiempo, el laboratorio también comienza a caer, por lo que, subjetivamente, ve abalanzarse el receptor hacia sí, aunque en realidad el aparato siga fijo en tierra.
Postion	Tokenization
1	Al
2	mismo
3	tiempo
4	,
5	el
6	laboratorio
7	también
8	comienza
9	a
10	caer
11	,
12	por
13	lo
14	que
15	,
16	subjetivamente
17	,
18	ve
19	abalanzarse
20	abalanzar
21	se
22	el
23	receptor
24	hacia
25	sí
26	,
27	aunque
28	en
29	realidad
30	el
31	aparato
32	siga
33	fijo
34	en
35	tierra
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	3	case
2	mismo	DET	3	det
3	tiempo	NOUN	8	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	laboratorio	NOUN	8	nsubj
7	también	ADV	8	advmod
8	comienza	VERB	0	root
9	a	ADP	10	mark
10	caer	VERB	8	xcomp
11	,	PUNCT	18	punct
12	por	ADP	14	case
13	lo	PRON	14	det
14	que	PRON	18	obl
15	,	PUNCT	16	punct
16	subjetivamente	ADV	18	advmod
17	,	PUNCT	16	punct
18	ve	VERB	10	advcl
19	abalanzarse	_	None	_
20	abalanzar	VERB	18	xcomp
21	se	PRON	19	expl:pv
22	el	DET	22	det
23	receptor	NOUN	18	nsubj
24	hacia	ADP	24	case
25	sí	PRON	19	obl
26	,	PUNCT	31	punct
27	aunque	SCONJ	31	mark
28	en	ADP	31	advmod
29	realidad	NOUN	27	fixed
30	el	DET	30	det
31	aparato	NOUN	31	nsubj
32	siga	VERB	18	advcl
33	fijo	ADJ	31	obj
34	en	ADP	34	case
35	tierra	NOUN	32	nmod
36	.	PUNCT	8	punct