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:
Los guerrilleros abrazaban a sus familias, trasladadas hasta Flor del Monte para presenciar el acto, las autoridades intentaban acomodarse en la tribuna tratando discretamente de no caer en la lipotimia que los casi cuarenta grados a la sombra hacía casi inevitable en la plaza principal de Flor del Monte.
Postion	Tokenization
1	Los
2	guerrilleros
3	abrazaban
4	a
5	sus
6	familias
7	,
8	trasladadas
9	hasta
10	Flor
11	del
12	Monte
13	para
14	presenciar
15	el
16	acto
17	,
18	las
19	autoridades
20	intentaban
21	acomodarse
22	acomodar
23	se
24	en
25	la
26	tribuna
27	tratando
28	discretamente
29	de
30	no
31	caer
32	en
33	la
34	lipotimia
35	que
36	los
37	casi
38	cuarenta
39	grados
40	a
41	la
42	sombra
43	hacía
44	casi
45	inevitable
46	en
47	la
48	plaza
49	principal
50	de
51	Flor
52	del
53	Monte
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	guerrilleros	NOUN	3	nsubj
3	abrazaban	VERB	0	root
4	a	ADP	6	case
5	sus	DET	6	det
6	familias	NOUN	3	obj
7	,	PUNCT	8	punct
8	trasladadas	ADJ	6	amod
9	hasta	ADP	10	case
10	Flor	PROPN	8	obl
11	del	ADP	12	case
12	Monte	PROPN	10	flat
13	para	ADP	14	mark
14	presenciar	VERB	8	advcl
15	el	DET	16	det
16	acto	NOUN	14	obj
17	,	PUNCT	3	punct
18	las	DET	19	det
19	autoridades	NOUN	20	nsubj
20	intentaban	VERB	3	advcl
21	acomodarse	_	None	_
22	acomodar	VERB	20	xcomp
23	se	PRON	21	expl:pv
24	en	ADP	25	case
25	la	DET	25	det
26	tribuna	NOUN	21	obl
27	tratando	VERB	20	advcl
28	discretamente	ADV	26	advmod
29	de	ADP	30	mark
30	no	ADV	30	advmod
31	caer	VERB	26	xcomp
32	en	ADP	33	case
33	la	DET	33	det
34	lipotimia	NOUN	30	obl
35	que	PRON	42	obj
36	los	DET	38	det
37	casi	ADV	35	advmod
38	cuarenta	NUM	35	nummod
39	grados	NOUN	42	nsubj
40	a	ADP	41	case
41	la	DET	41	det
42	sombra	NOUN	38	nmod
43	hacía	VERB	33	acl
44	casi	ADV	44	advmod
45	inevitable	ADJ	42	obj
46	en	ADP	47	case
47	la	DET	47	det
48	plaza	NOUN	42	obl
49	principal	ADJ	47	amod
50	de	ADP	50	case
51	Flor	PROPN	47	nmod
52	del	ADP	52	case
53	Monte	PROPN	50	flat
54	.	PUNCT	3	punct