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:
We took our 7 month old and she laughed and giggled when (very harshly I might add) grabbing and 'kissed' the goats and lambs.
Postion	Tokenization
1	We
2	took
3	our
4	7
5	month
6	old
7	and
8	she
9	laughed
10	and
11	giggled
12	when
13	(
14	very
15	harshly
16	I
17	might
18	add
19	)
20	grabbing
21	and
22	'
23	kissed
24	'
25	the
26	goats
27	and
28	lambs
29	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	took	VERB	0	root
3	our	PRON	5	nmod:poss
4	7	NUM	5	nummod
5	month	NOUN	2	obj
6	old	ADJ	5	amod
7	and	CCONJ	9	cc
8	she	PRON	9	nsubj
9	laughed	VERB	2	conj
10	and	CCONJ	11	cc
11	giggled	VERB	9	conj
12	when	SCONJ	20	mark
13	(	PUNCT	18	punct
14	very	ADV	15	advmod
15	harshly	ADV	20	advmod
16	I	PRON	18	nsubj
17	might	AUX	18	aux
18	add	VERB	20	parataxis
19	)	PUNCT	18	punct
20	grabbing	VERB	9	advcl
21	and	CCONJ	23	cc
22	'	PUNCT	23	punct
23	kissed	VERB	9	conj
24	'	PUNCT	23	punct
25	the	DET	26	det
26	goats	NOUN	23	obj
27	and	CCONJ	28	cc
28	lambs	NOUN	26	conj
29	.	PUNCT	2	punct